فهرست مطالب

Research in Industrial Engineering - Volume:8 Issue: 3, 2019
  • Volume:8 Issue: 3, 2019
  • تاریخ انتشار: 1398/06/10
  • تعداد عناوین: 7
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  • S. M. Ahmed *, T. K. Biswas, C. K. Nundy Pages 203-224
    In this paper, an optimization model for aggregate planning of multi-product and multi-period production system has been formulated. Due to the involvement of too many stakeholders as well as uncertainties, the aggregate production planning sometimes becomes extremely complex in dealing with all relevant cost criteria. Most of the existing approaches have focused on minimizing only production related costs, consequently ignored other cost factors, for instance, supply chain related costs. However, these types of other cost factors are greatly affected by aggregate production planning and its mismanagement often results in increased overall costs of the business enterprises. Therefore, the proposed model has attempted to incorporate all the relevant cost factors into the optimization model which are directly or indirectly affected by the aggregate production planning. In addition, the considered supply chain related costs have been segregated into two major categories. While the raw material purchasing, ordering, and inventory costs have been grouped into an upstream category, finished goods inventory, and delivery costs in the downstream category. The most notable differences with the other existing models of aggregate production planning are in the consideration of the cost factors and formulation process in the mathematical model. A real-life industrial case problem is formulated and solved by using a genetic algorithm to demonstrate the applicability and feasibility of the proposed model. The results indicate that the proposed model is capable of solving any type of aggregate production planning efficiently and effectively.
    Keywords: Aggregate Production Planning, cost optimization, Genetic Algorithm, Production System
  • Sh. Haldar *, Ch. Karmaker, Sk. Hossain Pages 225-242
    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.
    Keywords: Supply chain, FAHP, supermarket, Decision Making
  • A. K. Garside * Pages 243-253
    Food product has a characteristic of continuous quality deterioration until the food is consumed. Cold chain distribution can improve the sustainability of the product quality but requires a more significant investment for storage facilities and vehicles as well as higher operation cost to control the temperature. This research focuses on a distribution problem faced by an ice cream distributor. In this paper, we developed a mixed-integer non-linear programming model to minimize the total cost, which consists of fixed cost, transportation cost of the vehicles, energy cost to keep the cold storage temperature, and inventory cost. The model considers the vehicle characteristics and hard time-windows for the distributor and all the stores. The implementation of this model demonstrates that the proposed route is able to reduce the total cost.
    Keywords: Frozen food, cold chain, perishable, Distribution, Integer programming, Time-Windows
  • F. Babakordi *, N. A. Taghi Nezhad Pages 254-261

    Matrix and its determinant are two basic tools, which are important in financial, accounting, and economic affairs. Therefore, in this paper, a simple and effective method is proposed to obtain the determinant of fuzzy matrices. First, using arithmetic operations based on Transmission Average (TA),the second order fuzzy determinant is calculated.Then,Sarrus rule is defined to calculate third order fuzzy determinant. Finally, by defining minor of fuzzy matrix and ijth adjugate of the fuzzy matrix, nth order fuzzy determinant is calculated. The effectiveness and applicability of the proposed method are verified by solving some numerical examples.

    Keywords: Arithmetic operations, fuzzy approximation, Fuzzy determinant
  • S. Q. Weng * Pages 262-273
    In recent years, the research of the fixed point theorem is a hot topic all the time. In this paper, we propose the notion of new mapping, that is, a general LW-type cyclic mapping, in a complete b-metric-like spaces. Then, we obtain the existence and uniqueness theorem of its fixed point. Moreover, we give an example to illustrate the main results of this paper.
    Keywords: B-metric-like space, Fixed Point Theorem, LW-type cyclic mapping
  • H. Khalifa * Pages 274-282
    This paper aims to study the multi-objective transportation problem with fuzzy parameters. These fuzzy parameters represented as (α, β) interval-valued fuzzy numbers instead of the normal fuzzy numbers. Using the signed distance ranking, the problem converted into the corresponding crisp multi-objective transportation problem. Then, the solution method introduced by [8] for solving the problem is applied. This method provides the ideal and the set of all fuzzy (α, β) efficient solutions. The advantage of this method is more flexible than the standard multi-objective transportation problem, where it allows the decision maker to choose the (α, β) levels of fuzzy numbers he is willing. A numerical example to illustrate the utility, effectiveness, and applicability of the method is given.
    Keywords: Multi-objective transportation problem, (α, β) fuzzy numbers, signed distance function, Multi-objective decision making problem, Optimal transportation, Optimal flowing method
  • Kh. Ghaziyani *, B. Ejlaly, S. F. Bagheri Pages 283-293
    Data Envelopment Analysis (DEA) is a nonparametric technique used to determine the relative efficiency of Decision Making Units (DMUs). Results from DEA analysis yield important information regarding the optimal operating capabilities of each unit. This paper studies DEA to hospital sectors and identifies their rankings during a period of six years. Data for the study comes from a hospital in the North of Iran. This article compares the performance of different parts of the hospital over the years. It can also aid improve hospital performance.
    Keywords: Efficiency, super-efficiency method, Hospital sector