| 1. |
- Aslam, Tehseen, et al.
(författare)
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Multi-Objective Optimization for Supply Chain Management : A Literature Review and New Development
- 2010
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Ingår i: SCMIS 2010 - Proceedings of 2010 8th International Conference on Supply Chain Management and Information Systems. - : The Hong Kong Polytechnic University. - 9789623676977 - 9789623676960 ; , s. Article number 5681724-
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Konferensbidrag (refereegranskat)abstract
- Research regarding supply chain optimization has been performed for a long time. However, it’s only in the last decade that the research community has started to investigate multi-objective optimization for supply chains. Supply chains are in general complex networks composed of autonomous entities whereby multiple performance measures in different levels, which in most cases are in conflict with each other, have to be taken into account. In this paper, we present a literature review of existing multi-objective optimization applications, both analytical-based and simulation-based, in supply chain management publications. Based on the literature review, the need for research in a multi-objective and multi-level optimization framework for supply chain management is proposed. Such a framework considers not only the optimization of the overall supply chain, but also for each entity within the supply chain, in a multi-objective optimization context.
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| 2. |
- Dudas, Catarina, et al.
(författare)
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Frequent Itemset Mining to Generate Initial Solutions for Simulation-Based Optimization of Warehouse Product Placement
- 2010
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Ingår i: SCMIS 2010. - Hong Kong : The Hong Kong Polytechnic University. - 9789623676977 - 9789623676960
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Konferensbidrag (refereegranskat)abstract
- Warehouses are obliged to optimize their operations with regard to multiple objectives, such as maximizing effective use space, equipment, labor, maximize accessibility of products, maximize amount of processed orders and all this should be achieved whilst minimizing order processing times, distance traveled, broken promises, errors and not to forget the operational cost. A product placement problem for a warehouse is in focus of this study and the main goal is to decrease the picking time for each pick run in order to gain higher efficiency. To achieve this, a simulation model is built as a representation of the warehouse. As the complexity and the size of the number of input variable grow it is essential to use simulation-based optimization in order to receive a satisfying result. A set of initial solutions for the simulation-based optimization is needed; since the number of products to place in the warehouse is huge this solution ought to be intelligent. This paper describes a technique for generating such a set of solutions through searching for frequent itemsets in the transaction database. It is believed that frequent products usually picked simultaneously should be stored closed together.
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| 3. |
- Hedenstierna, Philip, et al.
(författare)
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On the placement of the customer order decoupling point
- 2010
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Ingår i: Proceedings of 2010 8th International Conference on Supply Chain Management and Information Systems. - Hong Kong : The Hong Kong Polytechnic University. - 9789623676960 ; , s. Article number 5681729-
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Konferensbidrag (refereegranskat)abstract
- It is often suggested that supply chains should start working directly towards customer orders as far upstream as possible, mostly for inventory reduction reasons. However, the customer order decoupling point (CODP) cannot be pushed further upstream than customers are willing to wait. In this paper, we use a system dynamics model to show that the optimal placement of the CODP depends on the demand signal. Our findings indicate that placing the CODP downstream allows for short-term fluctuations in demand to be absorbed by the order book, leading to a stable production rate. This benefit must however be weighed against any additional safety stock a CODP placed far downstream may require.
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