A resource constrained scheduling problem with multiple independent producers and a single linking constraint: A coal supply chain example

Thomas, Anu; Venkateswaran, Jayendran; Singh, Gaurav; Krishnamoorthy, Mohan

doi:10.1016/j.ejor.2013.10.006

Cited by 28 publications

(10 citation statements)

References 22 publications

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“…Also in combining it with meta-heuristics such as Genetic Algorithm (Nie et al, 2008) or immunological system (Lu et al, 2012) or specific problem heuristics (Bajgiran et al, 2016). Another line is the update of the Lagrange multiplier by Column Generation (Sokoler et al, 2014) or stabilized by weighted elements proposed by Thomas et al (2014).…”

Section: Characteristics Of the Implementation Of The Mechanismmentioning

confidence: 99%

Coordination mechanisms with mathematical programming models for decentralized decision-making: a literature review

Rius-Sorolla

Maheut

Miguel

et al. 2018

Cent Eur J Oper Res

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The increase in the complexity of supply chains requires greater efforts to align the activities of all its members in order to improve the creation of value of their products or services offered to customers. In general, the information is asymmetric; each member has its own objective and limitations that may be in conflict with other members. Operations managements face the challenge of coordinating activities in such a way that the supply chain as a whole remains competitive, while each member improves by cooperating. This document aims to offer a systematic review of the collaborative planning in the last decade on the mechanisms of coordination in mathematical programming models that allow us to position existing concepts and identify areas where more research is needed.

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Section: Characteristics Of the Implementation Of The Mechanismmentioning

confidence: 99%

Coordination mechanisms with mathematical programming models for decentralized decision-making: a literature review

Rius-Sorolla

Maheut

Miguel

et al. 2018

Cent Eur J Oper Res

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“…However, the majority of previous research on multi-project planning and scheduling problems establishes problem models from the perspective of centralized decision making [8][9][10][11][12][13], ignoring the cross-enterprise proactive collaboration and coordination; thus, these are unable to deal with the complex shipbuilding project planning and scheduling problem. Existing studies on distributed project scheduling problems focus on the contention for public resources, shedding little light on the relationship between the planning and the scheduling [14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Research on Collaborative Planning and Symmetric Scheduling for Parallel Shipbuilding Projects in the Open Distributed Manufacturing Environment

Mao

Guo

et al. 2020

Symmetry

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In the current distributed manufacturing environment, more extensive enterprise cooperation is an effective means for shipbuilding companies to increase the competitiveness. However, considering the project scale and the uneven production capacity between the collaborative enterprises, a key issue for shipbuilding companies is to effectively combine the product-oriented project tasks and the specialized production-oriented plants. Due to information privatization, the decision-making process of project planning and scheduling is distributed and symmetric. Existing project scheduling methods and collaboration mechanisms in the shipbuilding industry are somehow inefficient. The aim of the research is to provide an assistant decision-making method to support effective task dispatching and multi-party cooperation for better utilization of the distributed resources and to help project managers control the shipbuilding process. The article initially establishes an agent-based complex shipbuilding project collaborative planning and symmetric scheduling framework, simulating the distributed collaborative decision-making process and bridging the multi-project planning with the individual project scheduling in much detail, which fills the research gap. A negotiation method based on iterative combination auction (ICA) is further proposed to solve the integration problem of project planning and task scheduling, and an illustrative example is conducted to demonstrate the effectiveness and rationality of the methods. Finally, an application case using a prototype system on shipbuilding projects collaborative planning and scheduling will be reported as a result.

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“…Environmental impacts of the coal usage in power generation, high production costs, and more importantly, environmentally sustainable coal usage has been discussed in many researches [2,10,11,12,13,14,15,16]. Man-Zhi et al [11] proposed a method based on object-oriented petri net (OPN) to model coal supply chain operation flow.…”

Section: Introductionmentioning

confidence: 99%

“…They provided some technical information about environmental effects and pollution from the coal mining, preparation, to the final conversion for power generation. Thomas et al [14] examined a resource constrained production planning and scheduling problem within a coal supply chain. They considered multiple independent producers with a single linking constraint.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Coal Supply Chain Management Using Exergy Analysis and Genetic Algorithm

Naderi

Nikabadi

Alem-Tabriz

et al. 2020

Management Systems in Production Engineering

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Environmental threats of coal usage in the electricity production combined with the consumption of renewable and non-renewable resources had led to worldwide energy challenges. The cost of coal mining and economical and environmentally sustainable usage of mined coal could be optimized by efficient management of coal supply chain. This paper provides a mathematical model for improving coal supply chain sustainability including the cost of exergy destruction (entropy). In the proposed method, exergy analysis is used to formulate the model considering not only economic costs but also destructed exergy cost, while genetic algorithm is applied to efficiently solve the proposed model. In order to validate the proposed methodology, some numerical examples of coal supply chains are presented and discussed to show the usability of the proposed exergetic coal supply chain model and claim its benefits over the existing models. According to the results, the proposed method provides 17.6% saving in the consumed exergy by accepting 2.7% more economic costs. The presented model can be used to improve the sustainability of coal supply chain for either designing new projects or upgrading existing processes.

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A resource constrained scheduling problem with multiple independent producers and a single linking constraint: A coal supply chain example

Cited by 28 publications

References 22 publications

Coordination mechanisms with mathematical programming models for decentralized decision-making: a literature review

Coordination mechanisms with mathematical programming models for decentralized decision-making: a literature review

Research on Collaborative Planning and Symmetric Scheduling for Parallel Shipbuilding Projects in the Open Distributed Manufacturing Environment

Sustainable Coal Supply Chain Management Using Exergy Analysis and Genetic Algorithm

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