2011 IEEE Workshop On Computational Intelligence In Production And Logistics Systems (CIPLS)最新文献

Automating a manual production scheduling process at a pharmaceutical company 使制药公司的手工生产调度过程自动化

2011 IEEE Workshop On Computational Intelligence In Production And Logistics Systems (CIPLS) Pub Date : 2011-04-11 DOI: 10.1109/CIPLS.2011.5953358

E. Ásgeirsson, Guðrún Sjöfn Axelsdóttir, H. Stefánsson

引用次数: 4

A multiobjective memetic ant colony optimization algorithm for the 1/3 variant of the time and space assembly line balancing problem 求解1/3变量时空装配线平衡问题的多目标模因蚁群优化算法

2011 IEEE Workshop On Computational Intelligence In Production And Logistics Systems (CIPLS) Pub Date : 2011-04-11 DOI: 10.1109/CIPLS.2011.5953354

M. Chica, O. Cordón, S. Damas, J. Bautista

引用次数: 9

A bounded dynamic programming algorithm for the blocking flow shop problem 阻塞流车间问题的有界动态规划算法

2011 IEEE Workshop On Computational Intelligence In Production And Logistics Systems (CIPLS) Pub Date : 2011-04-11 DOI: 10.1109/CIPLS.2011.5953353

J. Bautista, Alberto Cano, R. Companys, Imma Ribas

引用次数: 1

Stochastic capacity planning in a Global Mining Supply Chain 全球采矿供应链中的随机产能规划

2011 IEEE Workshop On Computational Intelligence In Production And Logistics Systems (CIPLS) Pub Date : 2011-04-11 DOI: 10.1109/CIPLS.2011.5953355

B. Pimentel, G. Mateus, F. A. Almeida

{"title":"Stochastic capacity planning in a Global Mining Supply Chain","authors":"B. Pimentel, G. Mateus, F. A. Almeida","doi":"10.1109/CIPLS.2011.5953355","DOIUrl":"https://doi.org/10.1109/CIPLS.2011.5953355","url":null,"abstract":"The strategic planning problem, when applied to a Global Mining Supply Chain, aims at developing the necessary capacity — through either incrementing capacity on existing assets (facilities or logistics channels), or establishing new capacity in the form of new assets — in order to satisfy increasing demand. Hence, throughout the planning horizon, decisions about which new assets to establish and where to increment capacity must be taken at minimal cost (or minimal risk) and in a timely manner. However, when demand varies non-monotonically, decisions about which assets to temporarily shut down in times of decreasing demand and which of those to reopen when market conditions improve must also be taken into account. In order to respond to the risky nature of commodity markets, we propose a multi-stage stochastic programming approach to deal with the capacity planning problem in a realistic Global Mining Supply Chain. A discrete probability scenario tree defines a large-scale integer program which is hard to solve even for modern optimization software and powerful workstations. An analysis of specific software configurations indicates a series of alternative solution approaches — from exact methods such as cutting planes to approximate methods such as local search — that can be further explored in order to develop more efficient algorithms.","PeriodicalId":103768,"journal":{"name":"2011 IEEE Workshop On Computational Intelligence In Production And Logistics Systems (CIPLS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125862331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Warehousing efficiency in a small warehouse 小仓库的仓储效率

2011 IEEE Workshop On Computational Intelligence In Production And Logistics Systems (CIPLS) Pub Date : 2011-04-11 DOI: 10.1109/CIPLS.2011.5953352

V. Limère, Aditya Pradhan, Melih Çelik, M. Soldner

引用次数: 5

The integrated lot-sizing and vehicle routing problem 集成批量和车辆路径问题

2011 IEEE Workshop On Computational Intelligence In Production And Logistics Systems (CIPLS) Pub Date : 2011-04-11 DOI: 10.1109/CIPLS.2011.5953359

Heitor Liberalino, C. Duhamel, A. Quilliot, S. Kedad-Sidhoum, P. Chrétienne

引用次数: 1

An approach based on simulation optimization and AHP to support collaborative design: With an application to supply chains 一种基于仿真优化和AHP支持协同设计的方法:在供应链中的应用

2011 IEEE Workshop On Computational Intelligence In Production And Logistics Systems (CIPLS) Pub Date : 2011-04-11 DOI: 10.1109/CIPLS.2011.5953360

A. Baccouche, Selçuk Gören, A. Huyet, H. Pierreval

{"title":"An approach based on simulation optimization and AHP to support collaborative design: With an application to supply chains","authors":"A. Baccouche, Selçuk Gören, A. Huyet, H. Pierreval","doi":"10.1109/CIPLS.2011.5953360","DOIUrl":"https://doi.org/10.1109/CIPLS.2011.5953360","url":null,"abstract":"In certain design problems, the solution can have collective implications that are experienced by a number of different people with different responsibilities — a team of decision-makers. In such cases, the design problem should be addressed in a collective manner, so that everyone's considerations are taken into account. Unfortunately, even though there is a vast body of literature on simulation optimization, which is widely used to solve the design problems encountered in practice, the existing research generally concentrates on providing a single solution that is optimized according to one or more performance measures. In this paper, we consider the problem of determining the values of several decision variables of a design problem where several decision-makers are involved, who have different preferences for the final solution. The different designers' considerations may not be all known in advance or may not be included in the simulation model, but can only be examined once a candidate solution is proposed. To cope with such difficulties, we propose a two-stage approach. It is first necessary to find a set of different enough designs that can be considered efficient in terms of performance. The solutions can afterwards be passed on to the decision-makers and the most appropriate one can be decided on according to their preferences. We use the crowding clustering genetic algorithm (CCGA) to solve the first sub-problem, where the performances of the candidate designs are evaluated using simulation. We address the second sub-problem with a multiplicative variant of the popular analytic hierarchy process (AHP), which does not suffer from the dependence on irrelevant alternatives as the original version. We illustrate the benefits of the proposed two-stage approach on a supply chain design problem.","PeriodicalId":103768,"journal":{"name":"2011 IEEE Workshop On Computational Intelligence In Production And Logistics Systems (CIPLS)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126895260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A guided genetic algorithm for solving the long-term car pooling problem 一种解决长期拼车问题的引导遗传算法

2011 IEEE Workshop On Computational Intelligence In Production And Logistics Systems (CIPLS) Pub Date : 2011-04-11 DOI: 10.1109/CIPLS.2011.5953357

Yuhan Guo, G. Goncalves, T. Hsu

引用次数: 8

Vehicle routing with fuzzy time windows using a genetic algorithm 基于遗传算法的模糊时间窗车辆路径选择

2011 IEEE Workshop On Computational Intelligence In Production And Logistics Systems (CIPLS) Pub Date : 2011-04-11 DOI: 10.1109/CIPLS.2011.5953356

Luis Francisco López-Castro, J. Montoya-Torres

引用次数: 11