eng Kharazmi University International Journal of Supply and Operations Management 23831359 23832525 2016-08-01 3 2 1234 1252 10.22034/2016.2.01 2671 مقاله پژوهشی An Augmented Common Weight Data Envelopment Analysis for Material Selection in High-tech Industries Iman Shokr i.shokr@ut.ac.ir 1 Mohsen Sadegh Amalnick amalnick@ut.ac.ir 2 Seyed Ali Torabi satorabi@ut.ac.ir 3 School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran Material selection is a challenging issue in manufacturing processes while the inappropriate selected material may lead to fail the manufacturing process or end user experience especially in high-tech industries such as aircraft and shipping. Every material has different quantitative and qualitative criteria which should be considered simultaneously when assessing and selecting the right material. A weighted linear optimization method (WLOM) in the class of data envelopment analysis which exists in literature is adopted to address material selection problem while accounting for both qualitative and quantitative criteria. However, it is demonstrated the adopted WLOM method is not able to produce a full ranking vector for the material selection problems borrowed from the literature. Thus, an augmented common weight data envelopment analysis model (ACWDEA) is developed in this paper with the aim of eliminating deficiencies of WLOM model. The proposed ACWDEA is able to produce full ranking vector in decision making problems with less computational complexities in superior to the WLOM. Two material selection problems are solved and results are compared with WLOM and previous methods. Finally, the robustness and effectiveness of the proposed ACWDEA method are evaluated through Spearman’s correlation tests. http://www.ijsom.com/article_2671_8f42c7ede818637fc11329796ab8bf32.pdf Material selection Data envelopment analysis (DEA) Common weights Multi-criteria decision making (MCDM) eng Kharazmi University International Journal of Supply and Operations Management 23831359 23832525 2016-08-01 3 2 1253 1266 10.22034/2016.2.02 2672 A Supply Chain Design Problem Integrated Facility Unavailabilities Management Fouad Maliki f.maliki@epst-tlemcen.dz 1 Mustapha Anwar Brahami ma.brahami@epst-tlemcen.dz 2 Mohammed Dahane 3 Zaki Sari 4 Preparatory school on sciences and techniques, MELT Laboratory, Tlemcen, Algeria Preparatory school on sciences and techniques, MELT Laboratory, Tlemcen, Algeria Ecole Nationale d’Ingénieurs de Metz (ENIM), Laboratoire de Génie Industriel et de Production de Metz (LGIPM), Metz, France Abou Bekr Belkaid University, MELT Laboratory, Tlemcen, Algeria A supply chain is a set of facilities connected together in order to provide products to customers. The supply chain is subject to random failures caused by different factors which cause the unavailability of some sites. Given the current economic context, the management of these unavailabilities is becoming a strategic choice to ensure the desired reliability and availability levels of the different supply chain facilities. In this work, we treat two problems related to the field of supply chain, namely the design and unavailabilities management of logistics facilities. Specifically, we consider a stochastic distribution network with consideration of suppliers' selection, distribution centres location (DCs) decisions and DCs’ unavailabilities management. Two resolution approaches are proposed. The first approach called non-integrated consists on define the optimal supply chain structure using an optimization approach based on genetic algorithms (GA), then to simulate the supply chain performance with the presence of DCs failures. The second approach called integrated approach is to consider the design of the supply chain problem and unavailabilities management of DCs in the same model. Note that, we replace each unavailable DC by performing a reallocation using GA in the two approaches. The obtained results of the two approaches are detailed and compared showing their effectiveness. http://www.ijsom.com/article_2672_705f666431c00379a50208773486b976.pdf Supply Chain Management Location-Allocation Suppliers selection Genetic Algorithms eng Kharazmi University International Journal of Supply and Operations Management 23831359 23832525 2016-08-01 3 2 1267 1283 10.22034/2016.2.03 2684 مقاله پژوهشی Development of Data Envelopment Analysis for the Performance Evaluation of Green Supply Chain with Undesirable Outputs Amir Amini mr62.amini@gmail.com 1 Alireza Alinezhad alalinezhad@gmail.com 2 Sadegh Salmanian alinezhad_ir@yahoo.com 3 Alghadir institute of higher education, Tabriz, Iran Faculty of Industrial and Mechanical Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran Faculty of Industrial and Mechanical Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran A fundamental problem is the use of DEA in multistep or multilevel processes such as supply chain, lack of attention to processes’ internal communications in a way that the recent studies on DEA in the context of serial processes have focused on closed systems that the outputs of one level become the inputs of the next level and none of the inputs enter the mediator process. The present study aimed to examine the general dimensions of an open multilevel process. Here, some of the data such as inputs and outputs are supposed to leave the system while other outputs turn into the inputs of the next level. The new inputs can enter the next level as well. We expand this mode for network structures. The overall performance of such a structure is considered as a weighted average of sectors’ performance or distinct steps. Therefore, this suggested model in this study, not only provides the possibility to evaluate the performance of the entire network, but creates the performance analysis for each of the sub-processes. On the other hand, considering the data with undesirable structure leads to more correct performance estimation. In the real world, all productive processes do not comprise desirable factors. Therefore, presenting a structure that is capable of taking into account the undesirable structure is of crucial importance. In this study, a new model in the DEA by network structure is offered that can analyze the performance considering undesirable factors. http://www.ijsom.com/article_2684_c9f77200808654c2ebd0497c26bdd80a.pdf Network Data Envelopment Analysis Green supply chain Undesirable output eng Kharazmi University International Journal of Supply and Operations Management 23831359 23832525 2016-08-01 3 2 1284 1300 10.22034/2016.2.04 2685 مقاله پژوهشی Green Supplier Evaluation by Using an Integrated Fuzzy AHP- VIKOR Approach Mehdi HakimiAsl am.ie.ut92@gmail.com 1 Mohsen Sadegh Amalnick m.hakimi@ut.ac.ir 2 Farbod Zorriassatine farzor.uni@gmail.com 3 Alireza HakimiAsl a.hakimi@ut.ac.ir 4 School of Industrial Engineering, University of Tehran, Tehran, Iran School of Industrial Engineering, University of Tehran, Tehran, Iran Department of Industrial Engineering, Islamic Azad University, Shiraz branch, Shiraz, Iran School of Industrial Engineering, University of Tehran, Tehran, Iran In the previous decade, fossil energy resources shortage and environmental challenges such as air and water pollution, global warming, and greenhouse-gas emissions, etc. have increased environmental concerns considerably. Since, one of the most practical and useful solutions to decrease environmental pollutants is to deploy green purchasing and clean energies by organizations or even governments. Thus, the construction of renewable-energy power plants and, consequently, the green supplier selection for these plants’ equipment has become more important. With this respect, this article presents a novel approach to assess and select green suppliers of a solar power plant. The proposed approach integrates Fuzzy Analytic Hierarchy Process and VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) methodologies. The results demonstrate the efficiency of the proposed approach as a practical tool to assist managers and CEOs (Chief Executive Officers) of electric power industry in assessing suppliers of solar power plant’s equipment. http://www.ijsom.com/article_2685_c22184459fe7fd102f9d09363a5a4e64.pdf Green supplier evaluation and selection Solar power plant Fuzzy AHP VIKOR eng Kharazmi University International Journal of Supply and Operations Management 23831359 23832525 2016-08-01 3 2 1301 1317 10.22034/2016.2.05 2686 مقاله پژوهشی The Bullwhip Effect on the VMI-Supply Chain Management viaSystem Dynamics Approach: The Supply Chain with Two Suppliers and One Retail Channel Yahia Zare Mehrjerdi mehrjerdyazd@gmail.com 1 Alireza Hosseini yazm2000@yahoo.com 2 Department of Industrial engineering, Yazd University, Yazd, Iran Yazd University, Yazd, Iran This work investigates the effect of different inventory policies of a supply chain model using the system dynamics approach which belongs to the class of Vendor Managed Inventory (VMI), automatic pipeline, inventory and order based production control systems (VMI-APIOBPCS). This work helps management to investigate the effect of different policies such as adding the VMI system or third party logistic (TPL) on the whole cost of the supply chain. To this end, this work applies system dynamics in supply chain with two supplier and one retail channel which consists of VMI system. Moreover, this work studies the performance of the proposed model via three metrics: Bullwhip effect; satisfaction of the end-customer; the amount of the whole inventory of chain. http://www.ijsom.com/article_2686_44d904fd0765257c7818cbe6837c39e4.pdf Supply Chain Management Vendor managed inventory System dynamics Bullwhip effect Optimal policy eng Kharazmi University International Journal of Supply and Operations Management 23831359 23832525 2016-08-01 3 2 1318 1331 10.22034/2016.2.06 2692 An Optimization Framework for Combining the Petroleum Replenishment Problem with the Optimal Bidding in Combinatorial Auctions Chefi Triki chefi@squ.edu.om 1 Nasr Al-Hinai nhinai@squ.edu.om 2 Islem Kaabachi 3 Saoussen Krichenc 4 Department of Mechanical and Industrial Engineering,Sultan Qaboos University, Muscat, Oman Department of Mechanical and Industrial Engineering,Sultan Qaboos University, Muscat, Oman LARODEC Laboratory, Institut Superieur de Gestion, University of Tunis, Tunisia LARODEC Laboratory, Institut Superieur de Gestion, University of Tunis, Tunisia We address in this paper a periodic petroleum station replenishment problem (PPSRP) that aims to plan the delivery of petroleum products to a set of geographically dispatched stations. It is assumed that each station is characterized by its weekly demand and by its frequency of service. The main objective of the delivery process is to minimize the total travelled distance by the vailable trucks over an extended planning horizon. The problem configuration is described through a set of trucks with several compartments each and a set of stations with demands and prefixed delivery frequencies. Given such input data, the minimization of the total distance is subject to assignment and routing constraints that express the capacity limitations of each truck's compartment in terms of the frequency and the pathways' restrictions. In this paper, we develop and solve the full space mathematical formulation for the PPSRP with application to the Omani context. Our ultimate aim is to include such a model into an integrated framework having the objective of advising petroleum distribution companies on how to prepare bids in case of participation in combinatorial auctions of the transportation procurement. http://www.ijsom.com/article_2692_3437dd0cfc0404cd27e4ecee903f8de4.pdf Vehicle routing Petroleum station replenishment Combinatorial auctions Transportation procurement eng Kharazmi University International Journal of Supply and Operations Management 23831359 23832525 2016-08-01 3 2 1332 1350 10.22034/2016.2.07 2696 مقاله پژوهشی A Fuzzy Goal Programming Approach for Optimizing Non-normal Fuzzy Multiple Response Problems Hamed Mogouie h.mogouie1365@gmail.com 1 Amir Farshbaf-Geranmayeh afarshbaf@ut.ac.ir 2 Amirhossein Amiri amiri@shahed.ac.ir 3 Mahdi Bashiri bashiri@shahed.ac.ir 4 Department of Industrial and Systems Engineering, Isfahan University of Technology, Isfahan, Iran School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran Industrial Engineering Department, Faculty of Engineering, Shahed University, Tehran, Iran Industrial Engineering Department, Faculty of Engineering, Shahed University, Tehran, Iran In most manufacturing processes, each product may contain a variety of quality characteristics which are of the interest to be optimized simultaneously through determination of the optimum setting of controllable factors. Although, classic experimental design presents some solutions for this regard, in a fuzzy environment, and in cases where the response data follow non-normal distributions, the available methods do not apply any more. In this paper, a general framework is introduced in which NORTA inverse transformation technique and fuzzy goal programming are used to deal with non-normality distribution of the response data and the fuzziness of response targets respectively. Moreover, the presented framework uses a simulation approach to investigate the effectiveness of the determined setting of controllable factors obtained from statistical analysis, for optimization of sink mark index, deflection rate and volumetric shrinkage in plastic molding manufacturing processes. The accuracy of the proposed method is verified through a real case study. http://www.ijsom.com/article_2696_6392a4647c461aa03dd59e4e18b2aa1b.pdf Non-normal multi- response optimization NORTA Inverse Transformation Technique Fuzzy goal programming Injection molding simulation