Manufacturing and Logistics
Hamid Saffari; Morteza Abbasi; Jafar Gheidar-Kheljani
Abstract
In recent years, responsiveness in the Supply Chain Network (SCN) has been considered to improve competitiveness because customers are the most significant part of a supply chain, and promptly meeting customer demand is substantial. In this article, to deal with the technological risks, the Reinforcement ...
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In recent years, responsiveness in the Supply Chain Network (SCN) has been considered to improve competitiveness because customers are the most significant part of a supply chain, and promptly meeting customer demand is substantial. In this article, to deal with the technological risks, the Reinforcement Policy (RP) before the disruption and the Assets-Sharing (AS) policy before and after the disruption has been used as Resilience Policies for Disruption (RPD). Also, the responsiveness of the network, as well as the risks associated with AS, have been considered in mathematical modeling. In addition, Lateral Sending (LS), delivery time deviations, and penalties for lost sales for increasing customer satisfaction in the cost objective function are considered responsiveness policies. A solution method has been developed based on the augmented ɛ-constraint to solve the model. Finally, the results show an improvement in cost by up to 14% and responsiveness by up to 17% by using the proposed policies, as well as the effectiveness of the developed technique to cope with the Multi-Objective (MO) model.
Case studies in industry and services
Ali Ehsani; Hassan Mehrmanesh; Mahmoud Mohammadi
Abstract
This study aims to identify and prioritize the effect of technology capability drivers on the supply chain performance of automotive companies. Technology capability indicators are ranked and prioritized using the fuzzy hierarchical analysis technique. The research method is applied in terms of purpose, ...
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This study aims to identify and prioritize the effect of technology capability drivers on the supply chain performance of automotive companies. Technology capability indicators are ranked and prioritized using the fuzzy hierarchical analysis technique. The research method is applied in terms of purpose, is described as the data collection method, and is considered quantitative research. After reviewing the theoretical literature of the research, the drivers of technology capability on the organization's performance were identified for prioritization; they were weighed by a number of experts in the field of automotive companies using questionnaires and fuzzy hierarchical analysis. Indicators and sub-indices of variable technology capability were ranked and prioritized. Based on the results of this research model, it was found that of the eight indicators examined, "strategic technology capability", "product technology capability", and "supplier technology" was the most important, and of the 38 technology capability sub-indicators examined, "Technology Development" is the most important.
Manufacturing and Logistics
N. Zahan; F. I. Jony; Kh. Nahar
Abstract
Osteoarthritis (OA) of the hip is the most common joint disease in elderly people and associated with significant physical disability. Pain relief is a primary treatment of hip OA. When the patient with hip OA has failed medical treatment modalities and remains in pain, the patient should be referred ...
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Osteoarthritis (OA) of the hip is the most common joint disease in elderly people and associated with significant physical disability. Pain relief is a primary treatment of hip OA. When the patient with hip OA has failed medical treatment modalities and remains in pain, the patient should be referred for hip replacement surgery in which the damaged surfaces of the joint is removed and replaced with a set of artificial ball-and-socket implants. In this research, a proposition for Additive Manufacturing (AM) is advocated to produce the bone implant to enhance the customer satisfaction along with minimization of costs. AM primarily differs from traditional material removal process because it creates product by successive deposits of material layer by layer. Because of this difference, the cost and operational methodologies are distinct from traditional manufacturing. For this reason, additive manufacturing is adopted for this artificial bone manufacturing and a stochastic optimization model is proposed to help a manufacturer decide when AM is best for them.
Sh. Haldar; Ch. L. Karmaker; Sk. R. Hossain
Abstract
Nowadays, the supply chain has become a buzzword in the business field. Only the supply chain can help to lead a business in an organized way. However, in a supermarket, the supply chain is very important, but it needs to ensure better communication with supplier, customer, and internal management too. ...
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Nowadays, the supply chain has become a buzzword in the business field. Only the supply chain can help to lead a business in an organized way. However, in a supermarket, the supply chain is very important, but it needs to ensure better communication with supplier, customer, and internal management too. Each factor of the supply chain has a good effect on itself. The purpose of this research is to explore the important supermarket supply chain factors found in the literature and from supply chain experts and to develop a framework which can help to arrange the criteria in a sequence from most important to the worst by considering each sector of the supply chain. This paper has studied one of the supermarkets in Bangladesh namely Save ‘n’ Safe. Authors have taken FAHP, one of the tools of MCDM, to figure out the most effective factors. The result reveals that the managing inventory, internal information sharing, and accurate demand forecasting are the most affected factors for the Save ‘n’ Safe (a supermarket). Finally, some recommendations have been given to improve the existing situation. This study can be used not only in the other supermarkets but also in any other retail or grocery shops.
S. Haldar; C. L. Karmaker; Sk. R. Hossain
Abstract
Nowadays, the supply chain has become a buzzword in the business field. The only supply chain can help to lead a business in an organized way. However, in a supermarket, the supply chain is very important, but they need to ensure better communication with the supplier, customer, and internal management ...
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Nowadays, the supply chain has become a buzzword in the business field. The only supply chain can help to lead a business in an organized way. However, in a supermarket, the supply chain is very important, but they need to ensure better communication with the supplier, customer, and internal management too. Each factor of the supply chain has a good effect on itself. The purpose of this research is to explore the important supermarket supply chain factors found in the literature and from supply chain experts and to develop a framework which can help to arrange the criteria in a sequence from most important to the worst by considering each sector of the supply chain. This paper has studied one of the supermarkets in Bangladesh, namely Save ‘n’ Safe. Authors have taken FAHP, one of the tools of MCDM, to figure it out the most effective factors. The result reveals that managing inventory, internal information sharing, and accurate demand forecasting are the most affected factors for the Save ‘n’ Safe (a supermarket). Finally, some recommendations have been given to improve the existing situation. This study can be used not only in the other supermarkets but also any other retail or grocery shops.
Fuzzy optimization
H. Nasseri; M. Morteznia; M. Mirmohseni
Abstract
Supplier selection is one of the most critical activities of purchasing management in a supply chain. Because selecting right suppliers helps reduce purchasing costs, improve quality of final products and services, etc. In a real situation, for a supplier selection problem, most of the input information ...
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Supplier selection is one of the most critical activities of purchasing management in a supply chain. Because selecting right suppliers helps reduce purchasing costs, improve quality of final products and services, etc. In a real situation, for a supplier selection problem, most of the input information is not known precisely, since decision making deal with human judgment and comprehension and its nature includes ambiguity. In fact, on the one hand, deterministic models cannot easily take this vagueness into account. In these cases, the theory of fuzzy sets is one of the best tools to handle uncertainty. On the other hand, Kumar et al. proposed a new approach to find the fuzzy optimal solution of fully fuzzy linear programming problem. So, using this approach in this paper, we present a new mixed integer multi objective linear programming model for supplier selection problem. Due to uncertainty of the data, in continuation, we present a new method to solve multi objective fully fuzzy mixed integer linear programming and implement the method to supplier selection problem. Computational results present the application of the method and the proposal solving method.
Supply chain management
S. Aliari-Kardehdeh; S. Ayazi-Yazdi; R. Tavakkoli-Moghaddam; H. Farrokhi-Asl
Abstract
This paper considers a dynamic pricing decision problem, in which two different manufacturers compete to distribute substitutable products through a single retailer under two presented scenarios. In the first scenario, the pricing policy is determined via a centralized decision-making, while the second ...
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This paper considers a dynamic pricing decision problem, in which two different manufacturers compete to distribute substitutable products through a single retailer under two presented scenarios. In the first scenario, the pricing policy is determined via a centralized decision-making, while the second scenario manages the policy in a decentralized one. Utilizing the game-theory-based modeling approaches, the pricing decision problem is achieved under with two different structures. Numerical experiments are also given to examine the effects of the presented scenarios and provide further managerial insights on the solutions.
M. Rabbani; H. Yousefnejad; H. Rafiei
Volume 3, Issue 1 , May 2014, , Pages 49-54
Abstract
This article attempts to cope with one of the most vital strategic decisions in the supply chain design in terms of manufacturing context. The issues of finding the best position of Customer Order Decoupling Point (CODP) in a production line have been taken into consideration by many researchers in recent ...
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This article attempts to cope with one of the most vital strategic decisions in the supply chain design in terms of manufacturing context. The issues of finding the best position of Customer Order Decoupling Point (CODP) in a production line have been taken into consideration by many researchers in recent years, but locating CODP along a supply chain has not yet been completely investigated. Here we present a novel combined DEA/AHP method to tackle the problem of positioning CODP in a supply chain. Then in order to prove the applicability of the proposed structure in a real case, the model is implemented in a food processing supply chain.
W. Dachry; B. Aghezzaf; B. Bensassi
Volume 2, Issue 2 , June 2013, , Pages 1-16
Abstract
Faced with new constraints of their environment, industries are forced to join together in collective entities and collaborate with their partners. These companies have realized the importance of collaboration between companies and have begun to adopt new patterns of behavior to improve their productivity, ...
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Faced with new constraints of their environment, industries are forced to join together in collective entities and collaborate with their partners. These companies have realized the importance of collaboration between companies and have begun to adopt new patterns of behavior to improve their productivity, profitability and flexibility during market requests. Indeed, the collaboration between firms has become a major strategic choice. Companies have begun to think of how to cooperate, a new form of management must be developed to ensure coordination and information’s sharing, in real time, between different stakeholders in the supply chain; suppliers, customers, subcontractors and carriers, etc. Faced with these issues, we truly believe that it is important to build a new information system; this one have to be modern, efficient and flexible in order to optimize and control the flow of information between supply chain actors. The approach presented in this paper is considered among the works that aim to propose solutions related to information systems based on multi-agent systems, in order to ensure coordination between services of various partners, sharing and traceability of information.
M. Seyedrezaei; S.E. Najafi; A. Aghajani; H. Bagherzadeh Valami
Volume 1, Issue 2 , July 2012, , Pages 40-57
Abstract
Distribution centers (DCs) play an important key role in supply chain. Delivering the right items to the right customers at the right time, at the right cost is a critical mission of the DCs. Today, customer satisfaction is an important factor for supplier companies in order to gain more profits. Optimizing ...
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Distribution centers (DCs) play an important key role in supply chain. Delivering the right items to the right customers at the right time, at the right cost is a critical mission of the DCs. Today, customer satisfaction is an important factor for supplier companies in order to gain more profits. Optimizing the number of fulfilled orders (An order that the required quantity of all items in that order are available from the inventory and can be send to the customer) in a time period may lead to delay some major orders; and consequently lead to dissatisfaction of these customers, ultimately loss them and lead to lower profits. In addition, some inventory may remain in the warehouse in a time-period and over the time become corrupt. It also leads to reduce the benefit of supplier companies in the supply chain. Therefore, in this paper, we will present a dynamic mathematical model to flow process /storage process of goods for order picking planning problem (OPP) in DCs. And we will optimize the number of fulfilled orders in this problem with regard to a) the coefficient of each customer, b) to meet each customer's needs in the least time c) probabilistic demand of customers, and d) taking inventory to send to customers at the earliest opportunity to prevent their decay. After presenting the mathematical model, we use Lingo software to solve small size problems. Complexity of the mathematical model will intensify by increasing the numbers of customers and products in distribution center, Therefore Lingo software will not able to solve these problems in a reasonable time. Therefore, we will develop and use a genetic algorithm (GA) for solving these problems.
