Topic
Goal programming
About: Goal programming is a research topic. Over the lifetime, 4330 publications have been published within this topic receiving 117758 citations.
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01 Sep 2010
TL;DR: A direct interpretation of the VRPTW as a multi-objective problem where both the total required fleet size and total traveling distance are minimized while capacity and time windows constraints are secured.
Abstract: This paper presents a new model and solution for multi-objective vehicle routing problem with time windows (VRPTW) using goal programming and genetic algorithm that in which decision maker specifies optimistic aspiration levels to the objectives and deviations from those aspirations are minimized. VRPTW involves the routing of a set of vehicles with limited capacity from a central depot to a set of geographically dispersed customers with known demands and predefined time windows. This paper uses a direct interpretation of the VRPTW as a multi-objective problem where both the total required fleet size and total traveling distance are minimized while capacity and time windows constraints are secured. The present work aims at using a goal programming approach for the formulation of the problem and an adapted efficient genetic algorithm to solve it. In the genetic algorithm various heuristics incorporate local exploitation in the evolutionary search and the concept of Pareto optimality for the multi-objective optimization. Moreover part of initial population is initialized randomly and part is initialized using Push Forward Insertion Heuristic and @l-interchange mechanism. The algorithm is applied to solve the benchmark Solomon's 56 VRPTW 100-customer instances. Results show that the suggested approach is quiet effective, as it provides solutions that are competitive with the best known in the literature.
234 citations
TL;DR: This work unify all the discussed concepts as well as the corresponding solution methods into one general framework of the solution of the linear programming problem with interval coefficients in the objective function based on preference relations between intervals.
234 citations
03 Jun 2010
TL;DR: In this article, the authors present all the recent advances in multicriteria analysis, including multirriteria optimization, goal programming, outranking methods, and disaggregation techniques, together with applications in business performance evaluation, finance, and marketing.
Abstract: Multicriteria analysis is a rapidly growing aspect of operations research and management science, with numerous practical applications in a wide range of fields. This book presents all the recent advances in multicriteria analysis, including multicriteria optimization, goal programming, outranking methods, and disaggregation techniques. The latest developments on robustness analysis, preference elicitation, and decision making when faced with incomplete information, are also discussed, together with applications in business performance evaluation, finance, and marketing. Finally, the interactions of multicriteria analysis with other disciplines are also explored, including among others data mining, artificial intelligence, and evolutionary methods.
228 citations
TL;DR: A decision aid that will allow weighting (prioritizing) of a service industry's unique service qualitymeasures, consider the real world resource limitations, and select the optimal set of qualitycontrol instruments for customer data collection purposes is proposed.
227 citations
TL;DR: Computational results support the assertion that fuzzy goal programming approaches can effectively be used in handling the collaborative production-distribution planning problems in different supply chain structures.
Abstract: Collaborative production–distribution planning problem in supply chain systems is dealt with in this paper. A multi-objective linear programming model is developed in this concern. In order to reflect the collaborative planning issues to the model and to provide a more realistic model structure, decision makers’ imprecise aspiration levels for the goals are incorporated into the model using fuzzy goal programming approach. To explore the viability of different fuzzy goal programming approaches for the collaborative production–distribution problem in different supply chain structures, i.e. centralized and decentralized, computational experiments are performed on a hypothetically constructed case problem. Computational results support our assertion that fuzzy goal programming approaches can effectively be used in handling the collaborative production–distribution planning problems in different supply chain structures.
224 citations