A new integrated mathematical model for a bi-objective multi-depot location-routing problem solved by a multi-objective scatter search algorithm

Tavakkoli–Moghaddam, Reza; Makui, Ahmad; Mazloomi, Z.

doi:10.1016/j.jmsy.2010.11.005

Cited by 39 publications

(11 citation statements)

References 23 publications

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“…The proposed model by Lin and Kwok [42] is the first M-O case of this type. The same track was followed by R. Tavakkoli-Moghaddam et al [43], where the authors aimed at service-level enhancement by maximization of the total served demand in addition to cost minimization. G. Nasab et al [44] considered three objectives, one of which is the minimization of the population who cannot access health services due to excessive distance.…”

Section: Location Routing Problemsmentioning

confidence: 97%

The New Generation of Operations Research Methods in Supply Chain Optimization: A Review

Pourhejazy

Kwon

2016

Sustainability

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Abstract:The possibilities of applying Operations Research (O.R.) techniques in the design of real-world systems are vast. The optimization and design of the supply chain network (SCN) is one of the relevant topics that has directed the attention of many scholars. Sound decisions in this regard, including the proper selection of the facility's location, transportation modes and routes and inventory management policies, can noticeably improve the systems performance. Over 380 articles published between 2005 and 2016 in the ISI/Web of Science database have applied advanced O.R. techniques in SCN optimization studies. This paper offers a systematic review of these published contributions by focusing on two categories of O.R. approaches most recently applied for the design of SC systems: integrated mathematical modeling and simulation-optimization (S-O) frameworks. A taxonomy analysis of the mentioned approaches is presented based on the supply chain elements. A bibliometric analysis is also conducted to provide technical insights into the possible gaps in the field. Moreover, the relevant studies on SC sustainability are highlighted. The research results are supportive of the S-O frameworks as either an alternative approach or an effective solution method for the integrated problems. The research outcomes can provide researchers in the field with useful details of the integrated problems and S-O frameworks as the most recent O.R. methodologies in the field of SC optimization.

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Section: Location Routing Problemsmentioning

confidence: 97%

The New Generation of Operations Research Methods in Supply Chain Optimization: A Review

Pourhejazy

Kwon

2016

Sustainability

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“…A final equity objective is the minimisation of total distance to unmet demand, which incorporates the decision‐maker's desire to ensure that, in the future, the unmet demand can be met as easily as possible, by installing a new depot, or increasing the capacity of an existing one. This may be the case when the demand surpasses the (desired to install) supply, as in Johnson et al () and Tavakkoli‐Moghaddam et al ().…”

Section: Algorithmic Approaches and Objectivesmentioning

confidence: 99%

“…The remaining ones use non‐interactive methods, often using the weighting method for generating efficient solutions. Other used methods include goal programming (Zografos and Samara, ; Giannikos, ), constraint method (Wyman and Kuby, ), and more recently, metaheuristics (Lin and Kwok, ; Caballero et al, ; Tavakkoli‐Moghaddam et al, ).…”

Section: Algorithmic Approaches and Objectivesmentioning

confidence: 99%

A taxonomical analysis, current methods and objectives on location‐routing problems

Lopes

Ferreira

Santos

et al. 2013

Int Trans Operational Res

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Location-routing is a branch of locational analysis that takes into account distribution aspects. This paper proposes a taxonomy, with two levels, for location-routing problems. The first level focuses on the structural characteristics of the problems. The second level branches into the different algorithmic approaches and objective perspectives. An introduction to the previously defined problems is presented, categorising the papers in the literature (a total of 149 references) according to the proposed classification. Moreover, an overview of the most significant aspects of the different solution methods and main objectives, with special emphasis on multi-objective approaches, is provided. Some data providing a better insight into the publication progress are also included. Finally, several promising research directions are identified.

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“…They provide a solution procedure based on the SS framework. Tavakkoli-Moghaddam, Makui, and Mazloomi (2010) present an integrated mathematical model for the multi-depot location routing problem to maximise the total served demand and minimise the total cost. They propose a novel multi-objective SS algorithm to obtain the local diverse Pareto-optimal frontier.…”

Section: Review Of Related Researchmentioning

confidence: 99%

A multi-objective scatter search for the ladle scheduling problem

Tan

Cheng

2014

International Journal of Production Research

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We consider the ladle scheduling problem, which can be regarded as a vehicle routing problem with semi-soft time windows and adjustment times. The problem concerns allocating ladles to serve molten steel based on a given steelmaking scheduling plan, and determining the modification operations for the empty ladles after the service process. In addition, combining the controllable processing time of molten steel, the other aspect of the problem is to determine the service start times taking into consideration the technological constraints imposed in practice. We present a non-linear mathematical programming model with the conflicting objectives of minimising the occupation ratio of the ladles and maximising the degree of satisfaction with meeting the soft windows. To solve the multi-objective model, we develop a new scatter search (SS) approach by re-designing the common components of SS and incorporating a diversification generator, a combination method and a diversification criterion to conduct a wide exploration of the search space. We analyse and compare the performance of the proposed approach with a multi-objective genetic algorithm and with manual scheduling adopted in practical production using three real-life instances from a well-known iron-steel production plant in China. The computational results demonstrate the effectiveness of the proposed SS approach for solving the ladle scheduling problem.

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A new integrated mathematical model for a bi-objective multi-depot location-routing problem solved by a multi-objective scatter search algorithm

Cited by 39 publications

References 23 publications

The New Generation of Operations Research Methods in Supply Chain Optimization: A Review

The New Generation of Operations Research Methods in Supply Chain Optimization: A Review

A taxonomical analysis, current methods and objectives on location‐routing problems

A multi-objective scatter search for the ladle scheduling problem

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