MRP with flexible constraints: A fuzzy mathematical programming approach

Mula, Josefa; Mula, Josefa; García, José Pedro Martínez

doi:10.1016/j.fss.2005.05.045

Cited by 157 publications

(85 citation statements)

References 24 publications

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“…Although the fuzzy model obtains higher values for these parameters, the CPU time has not markedly increased. (Mula et al, 2006): (i) the average service level, (ii) the inventory levels, (iii) planning nervousness in relation to the planned period and planned quantity and (iv) the total costs. i.…”

Section: Evaluation Of the Resultsmentioning

confidence: 99%

Applying Fuzzy Linear Programming to Supply Chain Planning with Demand, Process and Supply Uncertainty

Peidro¹,

Mula²

2009

Supply Chain the Way to Flat Organisation

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Section: Evaluation Of the Resultsmentioning

confidence: 99%

Applying Fuzzy Linear Programming to Supply Chain Planning with Demand, Process and Supply Uncertainty

Peidro¹,

Mula²

2009

Supply Chain the Way to Flat Organisation

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“…Yin, Fan [32] investigated the relationship between slow steaming, fuel consumption and environmental aspects. A real analysis is developed to measuring carbon emission effects [33]. De, Mamanduru [9] indicated a ship routing and scheduling problem for multiple product and various ports by considering CO 2 emission, and solved with a metaheuristic due to complexity of the model.…”

Section: Environment and Social Considerationmentioning

confidence: 99%

Robust and sustainable full-shipload routing and scheduling problem considering variable speed: A real case study

et al. 2018

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This paper presents a sustainable multi objective routing and scheduling for maritime transportation considering ship variable speeds under uncertainty. The proposed model is aimed to satisfy three individual dimensions of sustainability including economic, environmental and social aspects simultaneously while it is finding the best routes and schedule for each ship. The first objective is placed to meet economic goal by minimizing shipping cost. The second objective goes to social respect of sustainability by maximizing job creation due to number of intransitive workers in ships and ports and, the third one is minimizing CO 2 emission to cover environmental target. Several test problems are applied to validate the proposed model and sensitivity analysis is used to demonstrate effects of model's parameters on objective function value. Augmented ɛ -constraint is implemented as a solution method to solve the multi-objective mathematical model. This is the first ship routing and scheduling paper which is considered three aspect of sustainability under uncertainty and solved by augmented ɛ -constraint. To solve the model in larger size, factual input data from a real case study is considered. Computational results show a significant positive managerial effects of this paper contributions.

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“…Constraints (16) and (17) enforce restrictions on the production and recovery capacities at HPR centers, respectively. Constraints (18) to (21) enforce restrictions on the distribution and collection capacities at HDC facilities in the forward and reverse ows, respectively. Notably, the lost distribution capacity occurred at unreliable HDC centers can be amended by the means of sharing strategy which is integrated in the forward ow.…”

Section: Problem Formulationmentioning

confidence: 99%

“…In this paper, we resort to the robust optimization approach to handle uncertainties in the parameters of an integrated forward-reverse logistics network design problem. Furthermore, fuzzy mathematical programming is a exible tool for modeling epistemic uncertainty that comes from lack of information about the actual value of parameters [18][19][20]. For e ective implementation of fuzzy mathematical programing to design supply chain networks with uncertain parameters, the reader may refer to [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Integrated Forward-reverse Logistics Network Design under Uncertainty and Reliability Consideration

et al. 2016

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Abstract. This paper proposes a robust optimization model for robust and reliable design of an integrated forward-reverse logistics network with hybrid facilities under uncertainty and random facility disruptions. The proposed model utilizes several e ective reliability strategies to mitigate the impact of random facility disruptions. First, the proposed model allows two types of hybrid facilities, namely, reliable and unreliable, to be located in the concerned logistics network where unreliable ones may be partially or fully disrupted, and thus a percentage of their capacities may be lost. However, they can still serve their customers with the remaining of their available capacities. Furthermore, a sharing strategy is taken into account, in which goods can be shipped from reliable hybrid facilities to unreliable ones to compensate their lost capacity. A robust optimization approach is applied on the developed model to handle the uncertainties in the parameters of the concerned network. Finally, several numerical experiments along with a sensitivity analysis are conducted to illustrate the signi cance and applicability of the proposed model as well as the e ectiveness of the robust optimization approach in this context.

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MRP with flexible constraints: A fuzzy mathematical programming approach

Cited by 157 publications

References 24 publications

Applying Fuzzy Linear Programming to Supply Chain Planning with Demand, Process and Supply Uncertainty

Applying Fuzzy Linear Programming to Supply Chain Planning with Demand, Process and Supply Uncertainty

Robust and sustainable full-shipload routing and scheduling problem considering variable speed: A real case study

Integrated Forward-reverse Logistics Network Design under Uncertainty and Reliability Consideration

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