Hierarchical facility network planning model for global logistics network configurations

Sheu, Jiuh‐Biing; Lin, Alex Yu-Ting

doi:10.1016/j.apm.2011.09.095

Cited by 27 publications

(7 citation statements)

References 18 publications

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“…Kannan et al [4] performed a simulation of the recycling of waste battery using genetic algorithm and built a closed-loop supply chain network model with multilevel and multiproduct, which solved the decision problem of material purchasing, producing, distribution, recycling, and processing. Sheu and Lin [5] presented a multiobjective programming model including the network configuration 2 Complexity cost, the profits, and consumer satisfaction level, considering the recovery rate and subsidies from the government. Beyond that they also take the potential risk-oriented costs into account.…”

Section: Introductionmentioning

confidence: 99%

Research on the Complexity and Chaos Control about a Closed‐Loop Supply Chain with Dual‐Channel Recycling and Uncertain Consumer Perception

Ren

et al. 2018

Complexity

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According to game theory, chaotic dynamics theory, and complexity based on the literature review about the pricing strategy and recycling channels of the closed-loop supply chain, on the background of the widespread hybrid recycling channels in Chinese electronic products market, this paper builds a closed-loop supply chain model with dual-channel recycling composed of one manufacturer and one third-party. We assume that the consumer perception towards the remanufacturing products is uncertain and limited. We carry on theoretical analysis of this model and perform numerical simulations from the perspective of entropy theory. Results show that a precipitous speed of recycling price adjustment of the manufacturer or the third-party will both lead the system into a chaotic state and cause the entropy of the system to increase. The system is sensitive to initial conditions in this chaotic condition. Focusing on the harmful effects of chaotic system, we introduce adjustment parameter to efficiently control the chaos. The results have a strong reference value to practical problems, so it has a great value in both theory and application.

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Section: Introductionmentioning

confidence: 99%

Research on the Complexity and Chaos Control about a Closed‐Loop Supply Chain with Dual‐Channel Recycling and Uncertain Consumer Perception

Ren

et al. 2018

Complexity

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“…Fornandes et al [5] develop a mixed integer linear programming (MILP) model under deterministic input parameters for planning a multi-level multi-product multi-entity supply chain network in petroleum industry, and the model is tested in a real-life case study of Portuguese petroleum SCND. Sheu and Lin [6] introduce a multi-objective programming (MOP) model combined with hierarchical cluster analysis method for global logistics network design and development, and the goal of this model is to simultaneously optimize the initial set-up investment, overall profit and customers' satisfaction rate of the global logistics network. A mathematical model is proposed by Roni et al [7] for SCND of mixed biomass combustion in coal-fired power plant, and a benders decomposition-based heuristics is also given in this paper to resolve the optimal solution.…”

Section: Litrerature Researchmentioning

confidence: 99%

“…Lingo software is one of the most famous and frequently used optimization packages, and it has been extensively applied for resolving computational optimization problems (e.g. LP, NLP, MIP, MOP) in a wide range of scientific fields including supply chain and logistics network planning [6,9,21], production planning [22], intelligent buildings [23], route planning and operations [24], hospital bed planning [25], resource management [26], emergency relief planning and management [27], etc. Due to the small scale of this numerical experimentation, less than 1 second was consumed for determining the most cost-efficient supply chain network configuration which is illustrated in Fig.…”

Section: Experimentationmentioning

confidence: 99%

An integrated optimization model for single-product supply chain network design considering supplier selection

Solvang

2014

2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom)

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Supply chain management has become increasingly important due to its predominant role for companies to survive in today's rapid-changing market. Managing supply chain in an efficient and effective manner will maximize both profitability and sustainability of the companies within it. Supply chain network design (SCND) is one of the most important strategic decisions in supply chain management and therefore has never lost its appeal to both researchers and practitioners. This paper presents a novel research on the network design of a simplified single-product multi-sourcing multi-facility supply chain. The proposed optimization model incorporates supplier selection with SCND, which is rarely referred in previous literature, and aims to determine the optimal supply chain network configuration in terms of the number and locations of facilities, material flows and supplier selection. Furthermore, numerical experimentation and discussion for future development are also presented for giving a deep insight of this paper. Keywords-Supply chain network design; supplier selection; computational optimizationI.

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“…(25)). Practices with similar methods for combining multiple objectives with different measures of units are also provided in Sheu (2007), Sheu and Lin (2012), Yu et al (2014) and Yu et al (2015).…”

Section: Model Solutionmentioning

confidence: 99%

A multi-objective location-allocation optimization for sustainable management of municipal solid waste

Solvang

2017

Environ Syst Decis

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Abstract:The location problem of treatment and service facilities in municipal solid waste (MSW) management system is of significant importance due to the socio-economic and environmental concerns. The consideration of waste treatment costs, environmental impact, greenhouse gas (GHG) emissions, social fairness as well as other relevant aspects should be simultaneously taken into account when a MSW management system is planned. Development of sophisticated decision support tools for planning MSW management system in an economic-efficient and environmental friendly manner is therefore important. In this paper, a general multi-objective location-allocation model for optimally managing the interactions among those conflicting factors in MSW management system is proposed. The model is comprised of a three-stage conceptual framework and a mixed integer mathematical programming. The inclusion of environmental impact and GHG emission objectives push the output of the model tightening towards more environmentally friendly and sustainable solutions in MSW management. The application of this model is demonstrated through an illustrative example and the computational efficiency of the programming is also tested through a set of incremental parameters. Latter in this paper, a comparison with previous case studies of MSW system design is presented in order to show the applicability and adaptability of the generic model in practical decision-making process, and the perspectives of future study are also discussed.

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Hierarchical facility network planning model for global logistics network configurations

Cited by 27 publications

References 18 publications

Research on the Complexity and Chaos Control about a Closed‐Loop Supply Chain with Dual‐Channel Recycling and Uncertain Consumer Perception

Research on the Complexity and Chaos Control about a Closed‐Loop Supply Chain with Dual‐Channel Recycling and Uncertain Consumer Perception

An integrated optimization model for single-product supply chain network design considering supplier selection

A multi-objective location-allocation optimization for sustainable management of municipal solid waste

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