نتایج جستجو برای: bi objective warehouse problem

تعداد نتایج: 1425513  

Journal: :IEEE Access 2023

For machining workshops that use automated guided vehicles (AGVs) for material handling and management, workstation layout AGV path are coupling factors affecting the cost (MHC). The multi-row is a typical pattern in many workshops, currently, there lack of studies on problem (MRLP) while taking into account path. This study established bi-objective optimization methodology integrating to minim...

Journal: :Operational Research 2023

Abstract This paper presents a bi-objective model for the design and optimization of sustainable hierarchical multi-modal hub network. The proposed focuses on sustainability by considering economic, environmental, social aspects decisions in A case Turkish network freight transportation is used to validate model. To solve small-sized problems, augmented epsilon constraint method version 2 (AUGM...

Nahavandi , Nasim , Nikbakhsh , Ehsan , Zegordi , Seyed Hessameddin ,

  Majority of models in location literature are based on assumptions such as point demand, absence of competitors, as well as monopoly in location, products, and services. However in real-world applications, these assumptions are not well-matched with reality. In this study, a new mixed integer nonlinear programming model based on weighted goal programming approach is proposed to maximize the c...

A Khalili-Damghani M Taghavifard

In this paper, the researchers have proposed a multi-dimensional knapsack model for project capital budgeting problem in uncertain situation which has been modeled through fuzzy sets. The optimistic and pessimistic situations were considered and associated deterministic models were yielded. Numerical example has been supplied toillustrate the performance of proposed model. The results were prom...

2015
Tobias Knabke Sebastian Olbrich

A vital aspect for organizations’ competitiveness in dynamic market conditions is to draw faster conclusions out of changing circumstances. The Information system itself must become more adaptable to better support corporate strategies. This is particularly challenging in the domain of Business Intelligence (BI) since the underlying architecture of decision support systems is not built upon agi...

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