Integration of material handling devices assignment and facility layout problems
Introduction
The layout design is one of the decisions that have a direct impact on the production costs of firms in an increasingly competitive environment. The transportation costs associated with the facility arrangement correspond to 20 %–50 % of the operating costs, 2 %–10 % of these transportation costs can be reduced with good plant planning [1]. A well-regulated plant results in efficient material use and reduced transport time [2].
The facility layout problem (FLP) aims to determine the locations of the departments within a supportive for continuous production (or service) [3]. FLPs deal with the physical placement of machines, departments, workstations in a layout for a specific aim (such as minimum transportation amount in the manufacturing sector) [4].
Type of FLPs varies on the produced product, sector, facility structure, demand variability and many other factors. FLP deals with the placement of the N facilities, which are usually given, in N areas, in a way to build the lowest cost layout. Therefore, all alternatives (N!) must be evaluated for the best placement. As the number of facilities increases, the number of alternatives increases exponentially and obtaining the optimal solution becomes difficult. The problem is therefore having computational complexity, defined as NP-hard [5].
Facility layout problems are handled together with different approaches in real life applications. One of these is the flexible bay structure, which limits the continuous space settlement problem. In one of the early studies, Tong [6] proposed a flexible bay structure based on layout, facility base, and the width of the flexible bay that is divided horizontally or vertically depending on the number of sections in the facility layout.
Fig. 1 shows an example representation of the flexible bay structure. While the flexible bay widths in the same line may differ, their heights must be the same [7]. The aim of the flexible bay structure is to divide a specific region into sub-regions, ensuring to minimize the total material handling costs. The areas of the bays may not be the same, but each bay must provide aspect ratio constraints or minimum length constraints [8].
A specific case of the facility layout problems is defined as Dynamic Facility Layout Problem (DFLP). Various definitions are made in many studies on DFLP [[9], [10], [11], [12], [13], [14], [15]]. In general, the dynamic facility layout problem refers to creating a facility design that provides multi-period planning, in which the product demands changes during periods thereby material transportations between departments vary extensively from a period to another period. The aim of the dynamic facility layout problem is to minimize the sum of transportation costs between the departments and to ensure that the facility is organized more effectively by keeping the displacement costs of the departments at the lowest level during the planning horizon.
As predicted in Meller and Gau [16], there is a tendency in the literature to organize layout and production system designs with simultaneous approaches. Another consideration taken into account is that when dealing with the facility layout problem is the assignment of material handling devices. The type of material handling devices affects the layout to be used for the settlement of the machines [17]. This requires considering these two dependent design problems together to find a solution for facility layout [18]. Efficient material handling ensures lower processing times and cycle times in production processes, on-time delivery and better quality [19].
The main contribution of the study is to show the effects of integrated material handling device assignment decisions in the facility layout models. Therefore, three different facility layout problems which are static, static with flexible bays and dynamic with flexible bays are evaluated. The problems are considered as consecutive models (solve facility layout problem first then solve the material handling device assignments problem) and integrated models. In this way, the changes in the minimum cost facility layouts of the problem with different characteristics are presented. Besides, scenarios and their effects on the problem are discussed.
Section snippets
Literature review
In previous studies, FLP has been studied in many studies. It is seen that these studies deal with the static type of the problem intensely. However, it is also seen that DFLP has been studied to work more frequently in recent years. The previous studies on FLP are summarized in Table 1. When the previous works are examined, the problem; different characteristics, different solution methods and different purposes are seen to vary. In this context, while analyzing the literature, static facility
Material handling device assignment and facility layout problem
In the facility layout problem, departments are assigned to the facility area. Let N denotes the number of departments that should be assigned to the facility area. The departments are assigned to the WxH area which are width and height limitations of the facility. The departments may have equal or unequal areas regarding the facilities. In this study, the areas are assumed to be unequal for each department for all mathematical models. The length and width of the departments are limited by the
Computational study
In the computational study, all of the models are evaluated by problem instances obtained from the literature. The material handling device assignment parameters are not included in these problem instances; therefore, the material handling device assignment parameters are generated randomly for all problem instances.
For models A and B, three problem instances which have 7, 8, and 9 departments, from the study of Komarudin & Wong, [47] namely O7, O8, and O9 are solved. For models C and D, three
Conclusion
Today's competitive conditions have properties that are suitable for the customers’ demands other than the product quality. These demands require the supply of the product when it is needed. In addition to being flexible and fast, this situation requires suitable pricing policies with competitors in order to compete in market conditions. Firms are trying to make more profit while producing under all these conditions. One of the most important ways to make more profit is to reduce costs. For
Declaration of Competing Interest
The authors declare that they have no conflict of interest.
Acknowledgements
Adem Erik would like to extend thanks to the Scientific and Technological Research Council of Turkey (TÜBİTAK) for supporting his Ph.D. studies (BIDEB-2211 Programme with Grant Application Number:1649B031905573).
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