IJSOM Kharazmi University International Journal of Supply and Operations Management 23831359 Kharazmi University 2743 10.22034/2018.1.1 uncertain decision making On the Grey Equal Surplus Sharing Solutions On the Grey Equal Surplus Sharing Solutions Yilmaz Uzeyir Alper Süleyman Demirel University, Isparta, Turkey Alparslan Gok Sırma Zeynep Süleyman Demirel University, Isparta, Turkey Ekici Mustafa Usak University, Usak, Turkey Palanci Osman Süleyman Demirel University, Isparta, Turkey 01 02 2018 5 1 1 10 07 02 2018 24 04 2018 Copyright © 2018, Kharazmi University. 2018 http://www.ijsom.com/article_2743.html

The grey uncertainty is a new methodology focusing on the study of problems involving small samples and poor information. It deals with uncertain systems with partially known information through generating, excavating, and extracting useful information from what is available. This paper focuses some division solutions for cooperative games, called the equal surplus sharing solutions. A situation, in which a finite set of players can obtain certain grey payoffs by cooperation can be described by a cooperative grey game. In this paper, we consider some grey division rules, namely the equal surplus sharing grey solutions. Further, we focus on a class of equal surplus sharing grey solutions consisting of all convex combinations of these solutions. An application from Operations Research (OR) situations is also given.

Cooperative games Grey uncertainty Equal surplus Sharing solutions
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IJSOM Kharazmi University International Journal of Supply and Operations Management 23831359 Kharazmi University 2746 10.22034/2018.1.2 operations planning,scheduling & control Solving a deterministic multi product single machine EPQ model withpartial backordering, scrapped products and rework Solving a deterministic multi product single machine EPQ model withpartial backordering, scrapped products and rework Najafi Mehrnaz Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran Ghodratnama Ali Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Karaj, Iran Pasandideh Hamid Reza Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran 01 02 2018 5 1 11 27 04 11 2017 05 05 2018 Copyright © 2018, Kharazmi University. 2018 http://www.ijsom.com/article_2746.html

In this paper, an economic production quantity (EPQ) inventory model with scrap and rework is developed. The inventory model is for multiple products and all products are manufactured in a single machine. Clearly, the existence of one machine results in limited production capacity and shortages. Therefore, shortages are permitted and partially backordered. We show that the model of the problem is a constrained non-linear program and use GAMS modelling language to solve it. Our objectiveis to minimize the joint total cost of the system and the supply cost of warehouse space, subject to capacity, service level, budget and warehouse space constraints. Subsequently, a nonlinear programming solver BARON is used to solve the model. At the end, numerical examples are provided to demonstrate the applicability of the model in real-world manufacturing problems.To verify the solution obtained and to evaluate the performance of MCDM (Multi Criteria Decision Making) methods , TUKEY test is employed to compare the means of the primary objective values, the mean values of the second objective , and the mean needed CPU time of solving the problem using various methods of MCDM. Also, To compare the methods we used TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The results show that torabi-hasini method is the most efficient method to solve the model and the solution qualities of the methods differ significantly. Finally, some conclusions and future researches are included.

Production modeling Economic production quantity Rework Multi-product Backordering scrap
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IJSOM Kharazmi University International Journal of Supply and Operations Management 23831359 Kharazmi University 2750 10.22034/2018.1.3 optimization in supply chain management Dual-channel Supply Chain Synchronization with Deterministic and Stochastic Demand under Cost-sharing Contract Dual-channel Supply Chain Synchronization with Deterministic and Stochastic Demand under Cost-sharing Contract Fakhrzad M.B. Department of Industrial Engineering, yazd University, yazd, Iran Pourfereidouni Hojjat Department of Industrial Engineering, yazd University, yazd, Iran Pourfereidouni Mitra Department of Mathematics, Vali-e-asr University, Rafsanjan, Iran 01 02 2018 5 1 28 41 20 01 2018 21 05 2018 Copyright © 2018, Kharazmi University. 2018 http://www.ijsom.com/article_2750.html

With the globalization of markets and the advancements in communications, such as the Internet and e-commerce, consumers are directly linked to manufacturers. Consumers can search a product in an offline store and buy it from an online store. This paper investigates the influence channel synchronization on the supplier, the retailer, and the entire supply chain in the dual-channel supply chains. Among synchronization mechanisms, contracts are valuable tools used in both theory and practice to coordinate various supply chains. This study presents a hybrid model with a new demand function and also it surveys the effects of free riding on sales effort in a dual-channel supply chain comprising of one manufacturer and one offline store. Finally, to achieve beneficial outcomes this paper considers a cost-sharing contract to synchronize a dual-channel supply chain. The efficiency of the supply chain can be improved under the stochastic demand solved by the genetic algorithm.

Dual-channel supply chain Sales effort Free riding Cost-sharing contract
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IJSOM Kharazmi University International Journal of Supply and Operations Management 23831359 Kharazmi University 2751 10.22034/2018.1.4 operations planning,scheduling & control A Multi-objective Competitive Location Problem under Queuing Framework A Multi-objective Competitive Location Problem under Queuing Framework Salmasnia Ali Department of Industrial Engineering, Faculty of Technology and Engineering, University of Qom, Qom, Iran Mousavi-Saleh Mohammad Department of Industrial Engineering, Faculty of Technology and Engineering, University of Qom, Qom, Iran Mokhtari Hadi Department of Industrial Engineering, University of Kashan, Kashan, Iran 01 02 2018 5 1 42 65 09 03 2018 29 05 2018 Copyright © 2018, Kharazmi University. 2018 http://www.ijsom.com/article_2751.html

This paper addresses a situation in which a firm is willing to locate several new multi-server facilities in a geographical area to provide a service to his customers within the M/M/m/K queue system. As a new assumption, it is also considered that there is already operating competitors in such system. This paper is going to find the location of facilities in a way that the market share of entering firm is maximized. For this purpose, simultaneous minimization of total cost and maximum idle time in each facility is considered as two objective functions in the model. The total cost consists of two parts: (1) the fixed cost for opening a new facility, and (2) the operational costs regarding to the customers, which depends on travel time to the facility and the waiting time at the facility. In addition, in order to make the problem more adapted to real-world situations, two new constraints on budget and number of the servers in each facility are added to the model. Eventually, to tackle the suggested problem, a non-dominated sorting genetic algorithm (NSGA-II) and a non-dominated ranked genetic algorithm (NRGA) are utilized. Finally, the performance of algorithms are investigated via analyzing a set of test problems.

Location problem with competitive M/M/m/K queuing system Multi-server facilities Multi-objective modeling NSGA-II NRGA
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IJSOM Kharazmi University International Journal of Supply and Operations Management 23831359 Kharazmi University 2753 10.22034/2018.1.5 optimization in supply chain management A Cuckoo Search Algorithm Approach for Multi Objective Optimization in Reverse Logistics Network under Uncertainty Condition A Cuckoo Search Algorithm Approach for Multi Objective Optimization in Reverse Logistics Network under Uncertainty Condition Ehtesham Rasi Reza Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran 01 02 2018 5 1 66 80 10 04 2018 13 06 2018 Copyright © 2018, Kharazmi University. 2018 http://www.ijsom.com/article_2753.html

In this study, an efficient logistics network was designed to optimize both time and cost as the most effective factors using a mathematical model (two-objective fuzzy optimization) in a reverse logistics system. This paper attempted to determine value of goods sent between return products processing centers in any time period, in such a way to minimize total cost and time of delay within supply chain. The fuzzy approach was adopted in order to consider uncertainty in reverse logistics network. The validity of model was measured through a model proposed by Azar Resin Co and then implemented and solved by GAMS software. According to previous studies and implementation of model at smaller scale, the problem revolved around designing NP-hard logistics network. Hence, exact methods cannot solve these problems on large scale, for which Cuckoo algorithm was considered. In order to validate the newly proposed algorithm, results were compared against the exact solution. The results suggested that the proposed Cuckoo algorithm was sufficiently accurate to solve the problem and achieve values similar to exact solution.

Reverse logistics Optimization Fuzzy Cuckoo algorithm Mixed integer linear programing (MILP)
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IJSOM Kharazmi University International Journal of Supply and Operations Management 23831359 Kharazmi University 2754 10.22034/2018.1.6 economics Application of Option Games in Investment Analysis Application of Option Games in Investment Analysis Arasteh Abdollah Babol Noshirvani University of Technology, Babol, Iran 01 02 2018 5 1 81 100 02 01 2018 18 06 2018 Copyright © 2018, Kharazmi University. 2018 http://www.ijsom.com/article_2754.html

This paper considers a popular problem in the investment, the best time and size of investment, using methods of real options in a cooperative game setting. Moreover, it shows a combination of real option theory to invest, combined with a competitive game between two movers in the growth of a general-use asset and cooperative game theory between two movers to catch a network effect. In the model, two firms have similar and interacting investment opportunities. There is a real option for both firms to postpone the investment until they have proper price and production states. There are benefits to a first mover who can create a facility to its own conditions. Also, there is a useful network effect of operating synergy if the first mover successfully motivates the second mover to start production instantaneously by sharing the production facility. So, the first mover has to discover when to create, what capacity to create and what the best economic rent is for using the facility. The second mover has to discover whether to use the first mover’s facility or create its own facility, and if it discovers to create it owns, what better time and size are.

Investment analysis Uncertainty modelling Real options analysis Real options games Bargaining games
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IJSOM Kharazmi University International Journal of Supply and Operations Management 23831359 Kharazmi University 2749 10.22034/2018.1.7 optimization in supply chain management Importance of Supply Chain Management in Healthcare of Third World Countries Importance of Supply Chain Management in Healthcare of Third World Countries Arora Monika The North Cap University, Gurugram, India Gigras Yogita The North Cap University, Gurugram, India 01 02 2018 5 1 101 106 21 03 2018 21 05 2018 Copyright © 2018, Kharazmi University. 2018 http://www.ijsom.com/article_2749.html

Healthcare Supply Chain Logistics is series of processes, workforce involved across different teams and movement of medicines, surgical equipment, and other products as needed by healthcare professionals to do their job. The aim of Supply Chain in Healthcare is to find the vulnerabilities among departments and propose measures to reduce them. It aims to identify weak areas to achieve targeted health outcome and increases investments in global health. The advantages of efficient Supply Chain in Healthcare is improved processes, efficient utilization of resources, satisfied employees, effective treatment and happy Patients. The significance of the research paper is to analyze possible loopholes in the healthcare and recommended controls which can be applied practically so as to bring improvement in the healthcare. In Hospitals Integrated Supply Chain should be implemented to meet the objectives. The Supply Chain ensures proper linkage of hospitals department, operations, revenue cycle. The Supply Chain can be visualized as a back end program running which is necessary to integrate all the different processes together. The supply chain implemented ensures availability of medicine/product at right time, minimizing inventory wastage, maximizing patient care, coordination in all departments minimizing human error/medication errors. This can be accomplished by using possible measures i.e. integrating subsystems [10], streamlining workflow and use of RFID technologies, standard product code, Global Identification number(GIN).

Global Identification Number(GIN) Radio Frequency Identification Number (RFID) Supply Chain Management (SCM) Standard Product Code (SPC) In Patient Department (IPD) Out Patient Department (OPD)
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