Manufacturing and Logistics
Taposh Kumar Kapuria; Mustafizur Rahman; Shuvo Haldar
Abstract
Garments industry is playing the pioneering role in improving Bangladesh economic condition. It was started in late 1970’s and now the leading foreign currency earner for Bangladesh. It’s no dubiousness to say that, the Bangladesh garment industry is ameliorating garment’s service quality ...
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Garments industry is playing the pioneering role in improving Bangladesh economic condition. It was started in late 1970’s and now the leading foreign currency earner for Bangladesh. It’s no dubiousness to say that, the Bangladesh garment industry is ameliorating garment’s service quality and innovative design features to exist in the global competitive market. Global competition in the garment’s market is changing day to day. Leading garment manufacturer from all over the world are adopting new innovative features and techniques to sustain global fierce competitive market. But the point is, Bangladeshi garment manufacturers are not lingered. They are also emphasizing on better service quality by adding latest design features and using the latest technologies to the garments. The sole purpose of this paper is to identify the root causes of sewing defects of an apparel industry in Bangladesh and continuous improvement in reducing the defects through Kaizen (Continuous Improvement) system. In short, productivity improvement of the apparel industry. Our studied garment manufacturing company is “ABONTI Color Tex. Ltd.”. Pareto Analysis is used to identify the top defect items. Cause-Effect Analysis helped to identify the root causes of sewing defects. Then, Kaizen is used for continuous improvement of the minimization of sewing defects.
H. Haleh; Mohamad Ebrahim Tayebi Araghi; S. Mohammad Arabzad
Volume 1, Issue 5 , December 2014, , Pages 280-292
Abstract
Automated guided vehicle system (AGVS) is traditionally used in manufacturing and warehousing. Especially, AGVS has many applications in flexible manufacturing system (FMS) (see, e.g., Ganesharajah, Hall, & Sriskandarajah, 1998; Seo & Egbelu, 1999;Vosniakos & Mamalis, (1990). Agents are event-driven ...
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Automated guided vehicle system (AGVS) is traditionally used in manufacturing and warehousing. Especially, AGVS has many applications in flexible manufacturing system (FMS) (see, e.g., Ganesharajah, Hall, & Sriskandarajah, 1998; Seo & Egbelu, 1999;Vosniakos & Mamalis, (1990). Agents are event-driven objects that can integrant in automated manufacturing environments to control certain tasks. In this paper a set of agents (a multi-agent system) is introduced to control an automated manufacturing environment. The studied problem can be modeled as a job shop where the jobs have to transported between machines by AGVs. This article introduces based on a disjunctive graph to modulate the joint scheduling problem and for machines and AGVs scheduling. The objective is to minimize the make span. Some case studies were used to show the effectiveness of simulation in solving these problems
Seyed Hamzeh Mirzaei
Abstract
In aggregation of preferences system, each decision maker (DM) selects a subset of the alternative and places them in a ranked order. The key issue of the aggregation preference is how to determine the weights associated with different ranking places. To avoid the subjectivity in determining the weights, ...
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In aggregation of preferences system, each decision maker (DM) selects a subset of the alternative and places them in a ranked order. The key issue of the aggregation preference is how to determine the weights associated with different ranking places. To avoid the subjectivity in determining the weights, data envelopment analysis (DEA) is used in Cook and Kress to determine the most favorable weights for each alternative. With respect to DEA-based models, two main criticisms appear in the literature: multiple top-ties and overly diverse weights. DEA models use assignments of the same aggregate value (equal to unity) to evaluate multiple alternatives as efficient. There is no criterion to discriminate among these alternatives in order to construct a ranking of alternatives. furthermore, overly diverse weights can appear, given that each alternative can have its own vector of weights (i.e., the one that maximizes its aggregate value). Thus, the efficiencies of different alternatives obtained by different sets of weights may be unable to be compared and ranked on the same basis In order to solve these two problems above, In order to rank all the alternatives on the same scale, In this paper we proposed an improvement to Kornbluth’s approach by introducing an multiple objective linear programming (MOLP) approach for generating a common set of weights in the DEA framework. In order to solve the MOLP model we use a goal programming (GP) model. solving the GP model gives us a common set of weights and then the efficiency scores of candidate can be obtained by using these common weights and finally we can rank all alternative.
Hossein Ebrahimzadeh Shermeh; Mohammad Hosein Alavidoost; Reza Darvishinia
Abstract
Data Envelopment Analysis (DEA) is one of the most powerful and useful instrument to evaluate the efficiency of DMU’s. To measure the relative efficiency of multi-sector DMU’s, it is essential to focus on the activities which relate these sectors together. The electrical firms or companies ...
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Data Envelopment Analysis (DEA) is one of the most powerful and useful instrument to evaluate the efficiency of DMU’s. To measure the relative efficiency of multi-sector DMU’s, it is essential to focus on the activities which relate these sectors together. The electrical firms or companies usually include different parts or sectors and focusing on the efficiency of each part enables us to evaluate the efficiency of the complex in a better way. In this paper, using the network DEA based on SBM approach we have measured the efficiency of electrical firms or companies in Iran.
Engineering Optimization
Ayodeji Nathaniel Oyedeji; Ibrahim Iliyasu; James Bitrus Bello; Kazeem Adeniyi Salami; Musa Nicholas Dibal; Danjuma S Yawas
Abstract
This study considered the consequence of the length and weight composition percentage of Deleb palm fruit fiber on the physio-mechanical characteristics of an epoxy-based composite through the Taguchi grey relational optimization technique. Considering fiber reinforcement of 30 wt% to 40 wt% and fiber ...
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This study considered the consequence of the length and weight composition percentage of Deleb palm fruit fiber on the physio-mechanical characteristics of an epoxy-based composite through the Taguchi grey relational optimization technique. Considering fiber reinforcement of 30 wt% to 40 wt% and fiber Reinforcement Length (RL) of 1-5 mm, the physical and mechanical properties were determined based on standards. The findings demonstrated that the Deleb palm fruit fiber's characteristics tend to differ from those of other types of fiber reinforcement in that they significantly impact the physio-mechanical characteristics of the resulting epoxy-based reinforced Deleb palm fruit fiber composite. The Analysis of Variance (ANOVA) result showed that, at a confidence interval of 5%, the effects of the fiber characteristics on the physio-mechanical properties of the composites were particularly notable for tensile strength and a decrease in water absorption.
Supply chain management
Javid Ghahremani-Nahr; Abdolsalaam Ghaderi; Ramez Kian
Abstract
This paper deals with the modeling of the Food Bank (FB) network in the conditions of uncertainty in the demand of charities and the capacity of donating food. The importance of creating a FB network, along with providing quality food, led to consider the two objective functions of minimizing the costs ...
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This paper deals with the modeling of the Food Bank (FB) network in the conditions of uncertainty in the demand of charities and the capacity of donating food. The importance of creating a FB network, along with providing quality food, led to consider the two objective functions of minimizing the costs of the total FB network and maximizing the minimum freshness of the food basket. The simultaneous optimization of the above two objective functions is aimed at making correct routing-inventory and allocation decisions. In this paper, food items in food baskets with high shelf-life and low shelf-life are considered. The results of solving the sample problems by combining the operators of two Genetic Algorithm (GA) and Salp Swarm Algorithm (SSA) showed that with the increase in the freshness of the food baskets, the costs of the FB network have increased. Also, the sensitivity analysis showed that the increase in uncertainty in the network leads to an increase in the cost of FB network and a decrease in the freshness of the food basket. The comparison of the results between the algorithms also showed that the efficiency of HGSSA is much higher than GA and SSA and the problem solving time by these methods is extremely lower. The use of HGSSA has increased the rate of achieving effective solutions by 14.06%.
Computational modelling
Reza Habibi
Abstract
There are many different fields the change point analysis arises. In those cases, the main problem is locating the unknown change points. The aim of this study is to detect location and time of change point in Poisson regression model. We assume for years before and after the change point , then observation ...
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There are many different fields the change point analysis arises. In those cases, the main problem is locating the unknown change points. The aim of this study is to detect location and time of change point in Poisson regression model. We assume for years before and after the change point , then observation has a Poisson distribution with parameters , respectively. We used several methods for estimation change point in real mortality data by assume Poisson regression model. Using two simulated and real data analysis showed that the change point has been occurred in year 1993 and this confirmed by all methods. Our findings have shown that the change pattern of mortality trend in Iran is related to improvement of health indicators and decreasing mortality rate in Iran.
Atefeh Salimi; Reza Tavakkoli Moghadam; Mehdi Bashiri
Volume 3, 1(4) , December 2016, , Pages 15-29
Abstract
Today the reverse logistics is one of the major activities of supply chain management that include all physical activities associated with returned products (e.g, sets, recovery and recycling, disposal and demolition). In this regard, concern about the environmental impacts of business activities lead ...
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Today the reverse logistics is one of the major activities of supply chain management that include all physical activities associated with returned products (e.g, sets, recovery and recycling, disposal and demolition). In this regard, concern about the environmental impacts of business activities lead to interest in supply chain design that is environmentally friendly. This article takes into consideration to minimize the environmental impact beside minimize the total cost of the basic model and the inherent uncertainty of input data. The basic model is considered to be a model plan to design a reverse logistics as a part of the supply chain in order to minimize the total cost for recycling urban solid waste. In dealing with uncertainty a scenario-based approach is used and the proposed model has been solved using GAMS software.
Fershteh Poorahangaryan; Ali Shahbi; Esmaeel Nabiee
Volume 1, Issue 1 , March 2014, , Pages 19-27
Abstract
Energy is essential parameter for economic – social development and quality of life. Sustainable energy is requisite for any economic growth. Nowadays, new options for producing energyand using technologies for its production are reproducible. So, the choice of technology is very important. In ...
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Energy is essential parameter for economic – social development and quality of life. Sustainable energy is requisite for any economic growth. Nowadays, new options for producing energyand using technologies for its production are reproducible. So, the choice of technology is very important. In this article, 6 different renewable powers has evaluated using Hybrid model of Artificial-Neural Network (ANN) and data envelopment analysis base on economic- technical indicators. Because, the low number of inputs and outputs of decision making units, (DMUs), leading to a reduction a separable power of DMUs at traditional DEA, so the NEURO-DEA was used the simulation results shows that off-shore wind energy have high efficiency rather than other studied energy.
Fuzzy optimization
Seyed Hadi Nasseri; Hadi Zavieh; Seyedeh Maedeh Mirmohseni
Abstract
In this paper, we generalize a linear programming problem with symmetric trapezoidal fuzzy number which is introduced by Ganesan and et al. in [3] to a general kind of trapezoidal fuzzy number. In this way, we first establish a new arithmetic operation for multiplication of two trapezoidal ...
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In this paper, we generalize a linear programming problem with symmetric trapezoidal fuzzy number which is introduced by Ganesan and et al. in [3] to a general kind of trapezoidal fuzzy number. In this way, we first establish a new arithmetic operation for multiplication of two trapezoidal fuzzy numbers. Then in order to preparing a method for solving the fuzzy linear programming as well as the primal simplex algorithm, we use a general linear ranking function as a convenient approach in the literature. In fact, our main contribution in this work is based on 3 items: 1) Extending the current fuzzy linear program to a general kind which is not essentially including the symmetric trapezoidal fuzzy numbers , 2) Defining a new multiplication role of two trapezoidal fuzzy numbers, 3) Establishing a fuzzy primal simplex algorithm for solving the generalized model. We in particular emphasize that this study can be used for establishing fuzzy dual simplex algorithm, fuzzy primal-dual simplex algorithm, fuzzy multi objective linear programming and the other similar methods which are appeared in the literature.
Data Envelopment Analysis, DEA
Rajon Paul Pantha; Md. Saiful Islam; Nahida Akter; Emroze Islam
Abstract
Nowadays, increasing environmental and social awareness has led numerous industries to adopt Sustainable Supply Chain Management (SSCM). Sustainable Supplier Selection (SSS) is considered as a very important and primary step of achieving an SSCM. SSS is a Multi-Criteria Decision Making (MCDM) problem ...
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Nowadays, increasing environmental and social awareness has led numerous industries to adopt Sustainable Supply Chain Management (SSCM). Sustainable Supplier Selection (SSS) is considered as a very important and primary step of achieving an SSCM. SSS is a Multi-Criteria Decision Making (MCDM) problem and is very intricate for its nature. This study aims to evaluate and rank sustainable suppliers using Data Envelopment Analysis (DEA) which is a popular model for measuring the productive efficiency of decision-making units effectively and is also able to handle MCDM problems. To avoid some inherent limitations of DEA, an evolutionary algorithm Differential Evolution (DE) is used to solve the DEA model. This integrated DEA-DE model provides more accurate efficiencies and is verified through a case study in a pharmaceutical company. Employing this easy and fast model to assess sustainable suppliers will help industries and suppliers to move forward towards achieving and maintaining sustainability and thus will increase the overall performance of SSCM.
Quality Control
Surya Perdana; Dana Santoso Saroso
Abstract
The industry under study is a company in the field of making Speaker, Megaphone and Amplifier. In this study, the Thoshiba IS 350 GS 350 Ton machine has observed. Constraints such as when producing machine Speaker Parts produce high reject products up to 7% of the total monthly production. When operating ...
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The industry under study is a company in the field of making Speaker, Megaphone and Amplifier. In this study, the Thoshiba IS 350 GS 350 Ton machine has observed. Constraints such as when producing machine Speaker Parts produce high reject products up to 7% of the total monthly production. When operating the machine often experiences downtime due to damage to the engine. Damage causes high employee overtime due to having to pursue production targets and the costs to be incurred by the company can reach Rp. 3 billion per month. Evaluation is done by calculating Overall Equipment Effectiveness (OEE) and comparing with OEE before repairs. Furthermore, discussed the factors that influence the effectiveness of the Injection molding machine contained in the six big losses and other problems where the method of analysis with fishbone diagrams. After that, the discussion was conducted using the analysis of Failure Mode and Effect Analysis (FMEA) to identify and analyze potential failures and their consequences. From the results of the observation, the main cause of damage to the Thoshiba IS 350 GS 350 Ton machine is the low Performance Rate with an average value of 63.5% in April 2018, this is caused by the value of Reduced Speed Losses that have the biggest contribution in six big losses with a loss of 86.9 hours which results in the Thoshiba IS 350 GS 350 Ton Machine not working optimally.
Risk management
Neda Gol-Ahmadi; Sadigh Raissi
Abstract
In this research, multi-state complex systems are analyzed in order to measure reliability and predict residual of systems’ lifetime under the effect of an out of control noise factor. Hence, the analytic method helps us to estimate multi-state system reliability, and then means residual lifetime ...
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In this research, multi-state complex systems are analyzed in order to measure reliability and predict residual of systems’ lifetime under the effect of an out of control noise factor. Hence, the analytic method helps us to estimate multi-state system reliability, and then means residual lifetime that is calculated under normal conditions. Finally, the calculation is updated for out of control noisy condition using the accelerated method. To reveal the applied results, the proposed policy is implemented in a case study in a molding machine on SNJ Co. at Isfahan.
Alireza Niazi; Mehrdad Nikbakht
Volume 2, Issue 1 , March 2015, , Pages 34-51
Abstract
In recent years, Green Supply Chain Management (GSCM) has implemented by the most of industries. With various barriers to implement GSCM, they couldn’t improve performance of the process and products according to the requirements of the environmental regulations. The paper aims to identify and ...
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In recent years, Green Supply Chain Management (GSCM) has implemented by the most of industries. With various barriers to implement GSCM, they couldn’t improve performance of the process and products according to the requirements of the environmental regulations. The paper aims to identify and prioritize of barriers GSCM implementation in petrochemical industry. The GSCM barriers are identified by extraction from the literature and interviews with experts. The statistical population includes the personnel in a petrochemical company of South Pars in Persian Gulf. The paper uses Shapiro-Wilk test for the research variables normality check, and structural equations modeling technique for investigation of the relationships between the variables. Analytical Hierarchy Process (AHP) is used to give priorities for the barriers of the GSCM implementation. The identified barriers have significant impact on GSCM implementation. The regulations and laws, competitive market, technological infrastructure, and lack of top management commitment are finally identified the most important barriers on supply chain management implementation.
Decision analysis and methods
Mehdi Soltanifar
Abstract
In this paper, a hybrid method based on a linear programming model for solving Multi-Attribute Decision-Making (MADM) problems by combining two new methods, the COmplex PRoportional ASsessment (COPRAS) and the Multi-Objective Optimization Ratio Analysis (MOORA) and also using the concept of discrimination ...
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In this paper, a hybrid method based on a linear programming model for solving Multi-Attribute Decision-Making (MADM) problems by combining two new methods, the COmplex PRoportional ASsessment (COPRAS) and the Multi-Objective Optimization Ratio Analysis (MOORA) and also using the concept of discrimination intensity functions are presented. Further interaction with the Decision Maker (DM) to determine the weights of the attributes and calculate the weights by solving a linear programming problem without determining the predetermined weight are two of the advantages of the new method. In the proposed method, for each alternative, attributes are weighted with optimism for that alternative, and then alternatives are ranked through efficiency intervals. The proposed method is implemented on a real-world problem derived from the subject literature and compared with other MADM methods. The difference in the final results is evident due to the consideration of more details in determining the rankings.
Rahim Moein
Volume 1, Issue 2 , June 2014, , Pages 74-95
Abstract
The present study aimed to explore the role of mediating factors of market orientation with regard to supply chain performance to help the firms achieve high levels of performance via identification of mediating factors of market orientation effective on supply chain performance and determining their ...
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The present study aimed to explore the role of mediating factors of market orientation with regard to supply chain performance to help the firms achieve high levels of performance via identification of mediating factors of market orientation effective on supply chain performance and determining their degree of importance. The statistical population included all managers and experts of the purchasing, business and selling sector of Reef Iran Chemical and Industrial Group among whom 85 persons were selected as the statistical sample. The obtained results disclosed that mediating factors of market orientation including decentralization, formalization, control system, inter-sectoral coordination, senior managers' support and reward system have a significant relation with supply chain performance. According to results of regression test, control system and decentralization are more effective than other factors in supply chain cycle. This shows that they have a positive effect on marketing, market-oriented behavior and supply chain performance of firms.
Fuzzy optimization
Sapan Kumar Das; Tarni Mandal
Abstract
In this paper, we studied fuzzy linear fractional programming (FLFP) problems with trapezoidal fuzzy numbers where the objective functions are fuzzy numbers and the constraints are real numbers. In this study, in order to obtain the fuzzy optimal solution with unrestricted variables and parameters, a ...
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In this paper, we studied fuzzy linear fractional programming (FLFP) problems with trapezoidal fuzzy numbers where the objective functions are fuzzy numbers and the constraints are real numbers. In this study, in order to obtain the fuzzy optimal solution with unrestricted variables and parameters, a new efficient method for FLFP problem has been proposed. These proposed methods are based on crisp linear fractional programming and newly transformation technique is also used. A computational procedure has been presented to obtain an optimal solution. To show the efficiency of our proposed method a real life example has been illustrated.
Hadi Shirouyehzad; Arash Shahin; Mina Dayani
Volume 2, Issue 2 , June 2015, , Pages 97-110
Abstract
To achieve the business goals, projects must be accurately done by project-based organizations. So, the aware of project performance is vital for this type of organizations. Given the projects play an important role in the development of any society, so the use of the best ways to implement, is very ...
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To achieve the business goals, projects must be accurately done by project-based organizations. So, the aware of project performance is vital for this type of organizations. Given the projects play an important role in the development of any society, so the use of the best ways to implement, is very important. One of the most important methods employed is agile project management .method that the purpose of the application of this approach is delivering value to the employer. The employer in this project plays an important role. The contractor will also have an important role in the implementation of projects, knowledge of the perceptions of the employer and contractor project management agility standards play an important role in improving implementation of the projects. The purpose of this paper is that examine the criteria for agile project management, then compare it with the traditional method. Therefore, evaluates the projects in Foolad Technique according to perception of contractors and employer of the criteria for agile project management agility using MCDM. From 6 project which studying in Foolad Technique, project of Foundation equipment Abarkooh rolling Hall, received the highest level of priority based on perception of contractors and employers. The managers can increase and estimate the agility level of their organization through knowing and using these criteria.
Renewable Energy
Filscha Nurprihatin; Agnes Octa; Tasya Regina; Tony Wijaya; Julliete Luin; Hendy Tannady
Abstract
From 2001 to the present, natural gas production in Indonesia dominates petroleum production. Most of the natural gas is used for export until 2013. From 2014 until now, most of the natural gas production is being utilized for domestic with an increasing trend. Domestic gas usage for households is still ...
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From 2001 to the present, natural gas production in Indonesia dominates petroleum production. Most of the natural gas is used for export until 2013. From 2014 until now, most of the natural gas production is being utilized for domestic with an increasing trend. Domestic gas usage for households is still far below industry and commercial sectors. Domestic gas usage in the household can be done in two ways, namely city gas and Liquefied Petroleum Gas cylinder. The use of city gas is better in terms of price, mitigation, and gas emission. The government plans to build a new city gas network for 4,000 households. This study aim is to propose the design of city gas network, so the construction and operational costs become minimal. This research uses three stages, namely division of region by using the clustering algorithm, the gas network route determination using heuristics algorithm, and determination of the feasibility using the Benefit-Cost Ratio. We have successfully calculated the maximum region’s capacity by making use of Weymouth Formula. The iterative clustering algorithm is done to make sure the location of Distribution Centers is well-defined. We modified the distance measurement by preferring driving distance rather than Euclidean in the interest of precision. In the end, we also discuss the feasibility study of the project. Based on the calculation, we have obtained that the gas network development project is feasible to run.
Facility location, layout, design, and materials handling
Syufrianto Asmit; Hernadewita Hernadewita; Ahmad Ismail
Abstract
Genset or generator set is one of the sources of electricity used in oil palm plantations; genset are placed in a special building that is a Genset’s house. Some of the problems encountered in the Genset’s house are oil spills, fuel oil spills, and dirty floors; scattered items in Genset’s ...
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Genset or generator set is one of the sources of electricity used in oil palm plantations; genset are placed in a special building that is a Genset’s house. Some of the problems encountered in the Genset’s house are oil spills, fuel oil spills, and dirty floors; scattered items in Genset’s house, packaging of hazardous and untreated substances, no safety sign board, and no work instruction. The study has conducted in an oil palm plantation company located in Central Kalimantan Province. The used method in this study is 5S (Seiri, Seiso, Seiton, Sheiketsu, and Shitsuke) by observing, interviewing, and literature review related to the discussed aspects. The results of the study show that the implementation of 5S makes the Genset’s house cleaner, the more orderly place of the goods, the no oil spill, the wider genset room, and the fundamental advantage is to reduce the environmental pollution due to the hazardous and toxic substances. So that the applied 5S principle to other parts of the company has proved to be effective in the maintenance of Genset’s houses and has reduced the possibility of fires and accidents.
Seyed Mahdi Homayouni; Ali Izadi; Mohammadreza Vasili
Volume 1, Issue 3 , September 2014, , Pages 148-158
Abstract
Many researches in inventory control area of knowledge have been focused on single objective and multi-objective problem of determining the economic quantity of order. In single objective problems, costs were considered as the objective. However, multi-objective problems have not been well investigated. ...
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Many researches in inventory control area of knowledge have been focused on single objective and multi-objective problem of determining the economic quantity of order. In single objective problems, costs were considered as the objective. However, multi-objective problems have not been well investigated. For instance, there are no hint to transportation cost, budget, or holding costs, or only capacity and demand constraints have been considered in these researches. This study focuses on developing a model accompanied by costs, quality and the time of delivery.The economic order quantity of multi-product from multi-supplier in multi-period under uncertainty in demand and discounted prices are considered in this paper. In first step, a mathematical model is developed for this problem. This mathematical model is solved by using multi-objective optimization method i.e. goal programming. Then, a meta-heuristic method based on multi-objective particle swarm optimization is proposed. Results of the small size numerical examples show that solutions found by using the proposed meta-heuristic method are in average, 5% worse than solutions found by using the mathematical methods; however, it needs much lower computational time.
Atefeh Salimi; Reza Tavakkoli Moghadam; Mehdi Bashiri
Volume 2, Issue 3 , September 2015, , Pages 168-179
Abstract
The importance of social responsibility in organizational and business units have been increasingly stressed by the researchers in recent years. As the supply chain plays an important role in today's business environment, the issue of social responsibility must be carefully considered in designing and ...
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The importance of social responsibility in organizational and business units have been increasingly stressed by the researchers in recent years. As the supply chain plays an important role in today's business environment, the issue of social responsibility must be carefully considered in designing and planning supply chain.This paper considers the social responsibility to be one of the goals of designing the reverse logistics network for recycling large household waste in terms of uncertainty. To deal with the uncertainty in proposed model, scenario-based random planning is used, and the proposed model has been solved by using GAMS Software. Since the objective function value has been taken into consideration for the model of social responsibility as one of the objectives, the objective function value is more than basic model one; we tried to present an approach as a motivational factor for enterprises to move towards the adoption of social responsibility towards society.
Energy Saving
Emran. M. Ataykah
Abstract
This work represents a theoretical investigation of a ground coupled heat pump system that is used for domestic heating and cooling purposes of a typical residential house in Tafilah-Jordan. The system is designed to provide heating and cooling loads of 7.39, 7.27 KW respectively. The designed system ...
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This work represents a theoretical investigation of a ground coupled heat pump system that is used for domestic heating and cooling purposes of a typical residential house in Tafilah-Jordan. The system is designed to provide heating and cooling loads of 7.39, 7.27 KW respectively. The designed system consists of a ground buried heat exchanger (1.5m depth, 6.5m length, and 2.2cm diameter), indoor heat exchanger, and a 2 HP compressor. The system has been analyzed economically and it was found that the ground coupled heat pump system reduces energy consumption and has a payback period for of 1.5 years.
Filscha Nurprihatin; Meilily Angely; Hendy Tannady
Abstract
In the manufacturing process, the machine is very important because downtime can inhibit and even stop production. We focused on the highest downtime that occurred in a particular product line and critical machine. This research contributes to overcoming and making the machine's performance and ability ...
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In the manufacturing process, the machine is very important because downtime can inhibit and even stop production. We focused on the highest downtime that occurred in a particular product line and critical machine. This research contributes to overcoming and making the machine's performance and ability better. We make use the Total Productive Maintenance (TPM), which started by calculating Overall Equipment Effectiveness (OEE) and Six Big Losses. This study also provides the maintenance attempt to increase the effectiveness and to eliminate losses incurred by calculating Mean Time Between Failure (MTBF) and Mean Time To Repair (MTTR). Finally, we proposed the TPM implementation to improve the effectiveness of the machine. The result showed that the OEE has not reached the ideal value due to the low availability. Breakdown losses contributed to the biggest factor in the loss. The way to overcome the cause of breakdown losses is to increase performance maintenance, by calculating and evaluating MTBF and MTTR. This research presented the cause of the low value of OEE, provided the performance maintenance policy according to MTBF and MTTR, and proposed the TPM implementation.
Case studies in industry and services
Ayyappan Solaiyappan
Abstract
To enhance the manufacturing process capability of a refractory company, the scope for implementing the Lean Six Sigma (LSS) methodology is analyzed in this work. The DMAIC methodology of Six Sigma is used in this project to determine the Critical to Quality Characteristics (CTQs), defining the possible ...
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To enhance the manufacturing process capability of a refractory company, the scope for implementing the Lean Six Sigma (LSS) methodology is analyzed in this work. The DMAIC methodology of Six Sigma is used in this project to determine the Critical to Quality Characteristics (CTQs), defining the possible causes, identifying the variation in sources, establishing the variable relationships, and implementing the control plans. It was found from the DMAIC approach that the quality of Raw Crude, Water Content, and the frequency of using Temperature Calibration Equipment are the main factors responsible for lowering Productivity in Shaft Kiln. To improve the productivity of Kiln, it was suggested to process the raw crude free of mud, remove the moisture content present in the magnesite stones and take action on changing the frequency of measuring the oil feeding calibration equipment.
