An interactive possibilistic programming approach for a multi-objective closed-loop supply chain network under uncertainty

Fallahtafti, Alireza; Sahraeian, Rashed; Tavakkoli–Moghaddam, Reza; Moeinipour, Masoud

doi:10.1080/00207721.2012.720296

Cited by 32 publications

(7 citation statements)

References 42 publications

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“…or 'Is the total cost minimized? ', in which the factors affecting the performance includes production, delivery, cost, inventory and market demand (Ozsen, Coullard, and Daskin 2008;Shen and Honda 2009;Whicker et al 2009;Wang 2012;Kumar and Tiwari 2013;Ramezani, Bashiri, and Tavakkoli-Moghaddam 2013;Yu and Nagurney 2013;Fallah-Tafti et al, forthcoming;Nagar, Dutta, and Jain, forthcoming). However, deterioration analysis and effect should also be considered when measuring the performance of the delivery network.…”

Section: Introductionmentioning

confidence: 98%

Network reliability with deteriorating product and production capacity through a multi-state delivery network

Lin

Huang

Yeh

2014

International Journal of Production Research

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Delivery process is a critical issue from the viewpoint of supply chain management. However, in the delivery process, deterioration would occur because of natural disasters (e.g. earthquake, fire, flood, hurricane and landslide) or man-made factors (e.g. explosion, terrorist attack and vehicular collision). The results in the intact products arriving at the market may not satisfy the demand. This paper thus concentrates on a multi-state delivery network (MSDN) with multiple suppliers, in which a vertex denotes a supplier, a transfer station or a market, while a branch denotes a carrier providing the delivery service for a pair of vertices. The available capacity of the carrier responsible for the delivery on a branch is multi-state because the capacity may be partially reserved by other customers. The addressed problem is to evaluate the network reliability, the probability that the MSDN with the deterioration consideration can satisfy the market demand within the budget and production capacity limitations. An algorithm is developed in terms of minimal paths to evaluate the network reliability along with a numerical example to illustrate the solution procedure. A real case study of the deteriorating auto glass is utilised to demonstrate the utility of the proposed algorithm.

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Section: Introductionmentioning

confidence: 98%

Network reliability with deteriorating product and production capacity through a multi-state delivery network

Lin

Huang

Yeh

2014

International Journal of Production Research

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“…Bilsel and Ravindran (2011) presented a multi-objective stochastic sequential supplier allocation model to help in supplier selection under uncertainty. Fallah-Tafti et al (2014) proposed a novel interactive possibilistic approach based on STEP method to minimize total costs, maximize suppliers' ranks and minimize total delivery time of products in closed-loop supply chain network design under uncertainty. Guo et al (2014) used a semi-fuzzy support vector domain description (semi-fuzzy SVDD) method to determine the select group of suppliers.…”

Section: Moncayo-martínez and Reciomentioning

confidence: 99%

A Pareto supplier selection algorithm for minimum the life cycle cost of complex product system

Guo

Huang

et al. 2015

Expert Systems with Applications

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“…Normally by considering a periodic time horizon in the routing problem, there is some uncertainty about some parameters of the model and it typically occurs in demand. There are some papers in the literature that applied a fuzzy chance constrained programming to deal with uncertain parameters (e.g., [7,14,[16][17][18]). One of the first papers in this area was proposed by Mehrjerdi and Nadizadeh [7].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Vehicle capacity and cash handling capacity in facility centers are expressed in constraint (15) and (16). Constraint (17) guarantees total number of vehicles in each facility center should respect the capacity of parking lots.…”

Section: Mathematical Formulationmentioning

confidence: 99%

“…The constraints having uncertain parameters must be molded with a satisfaction level of at least αi, meaning that we do not allow the constraint to be violated. Then, the equivalent auxiliary crisp model, by using the Nec measure and considering triangular fuzzy distribution for the uncertain parameter of demand in constraints (16) and (18) can be formulated as follows (for more information, we refer the readers to literature [27]):…”

Section: Uncertainty Modelingmentioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Mathematical Model for a Location-routing-inventory Problem under Uncertain Demand: a Numerical Illustration in Cash-in-transit Sector

Fallahtafti

Vahdatzad

Sadeghieh

2019

IJE

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The purpose of this article is to model and solve an integrated location, routing and inventory problem (LRIP) in cash-in-transit (CIT) sector. In real operation of cash transportation, to decrease total cost and to reduce risk of robbery of such high-value commodity. There must be substantial variation, making problem difficult to formulate. In this paper, to better fit real life applications and to make the problem more practical, a bi-objective multiple periods, capacitated facilities with time windows under uncertain demand (BO-PCLRIP-TW-FD) in the LRIP, motivated by the replenishment of automated teller machines, is proposed. Then, using the chance constrained fuzzy programming to deal with uncertain parameters, the comprehensive model is formulated as a crisp mixed-integer linear programming. At last, to validate the mathematical formulation and to solve the problem, the latest version of ε-constraint method (i.e., AUGMECON2) is used. The proposed solution approach is tested on a realistic instance in CIT sector. Numerical results demonstrate the suitability of the model and the formulation. The ability of the model to be useful references for security carriers in real-world cases.

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An interactive possibilistic programming approach for a multi-objective closed-loop supply chain network under uncertainty

Cited by 32 publications

References 42 publications

Network reliability with deteriorating product and production capacity through a multi-state delivery network

Network reliability with deteriorating product and production capacity through a multi-state delivery network

A Pareto supplier selection algorithm for minimum the life cycle cost of complex product system

A Comprehensive Mathematical Model for a Location-routing-inventory Problem under Uncertain Demand: a Numerical Illustration in Cash-in-transit Sector

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