On multi-item economic lot-sizing with remanufacturing and uncapacitated production

Cunha, Jesus O.; Konstantaras, Ioannis; Melo, Rafael A.; Sifaleras, Angelo

doi:10.1016/j.apm.2016.10.037

Cited by 21 publications

(9 citation statements)

References 14 publications

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“…Hasanov et al [6] in his research developed a remanufacturing inventory model, but assuming that capacity is unlimited. Moreover, Cunha et al [37] consider the problem of lotsizing multi-item economics with non-capacity remanufacturing and production. The development of further research by Bulmuş et al [2] who are inspired by the situation for certain car companies.…”

Section: Remanufacturing System With Backordermentioning

confidence: 99%

Capacitated Remanufacturing Inventory Model Considering Backorder: A Case Study of Indonesian Reverse Logistics

et al. 2019

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This paper develops the remanufacturing inventory model considering the storage capacity. The suggested model aims to minimize the total inventory cost (TIC). The model used the EOQ model, one of the basic inventory models in the supply chain. Numerical experiments and sensitivity analyses were carried out on models developed using the Lagrangean method. The existence of constraints in storage capacity can produce an optimal quantity of remanufacturing while minimizing inventory costs. This study also indicates that there is an impact between warehouse capacity, number of cycles, backorder costs, and the level of product collection on total inventory costs, and provides management implications that companies can make appropriate policies to minimize total inventory cost. INDEX TERMS Backorder, economic order quantity (EOQ), remanufacturing, storage capacity.

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Section: Remanufacturing System With Backordermentioning

confidence: 99%

Capacitated Remanufacturing Inventory Model Considering Backorder: A Case Study of Indonesian Reverse Logistics

et al. 2019

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“…The base material sample in this case was 7A52 aluminium alloy plates with dimensions of 50 Â 50 Â 20 mm 3 , and the filler wire was ER 5356 feed wire. A parallel I-type groove was applied, with gap width 3 mm and groove depth 18 mm, as shown in Figure 2a.…”

Section: Methodsmentioning

confidence: 99%

“…Remanufacturing engineering generally refers to the related techniques or engineering activities to remanufacture the waste products, which regards product life cycle theory as instructions and performance upgrading as goals, with rules of energy-saving environment conservation-good quality-high efficiency by using advanced processing techniques [1]. It can bring great economic and social benefits on sources and environment to the world and has become an important way for sustainable society development [1][2][3]. Figure 1 shows the main procedures of used equipment remanufacturing process, which generally involves many steps such as disassembling, cleaning, detecting and assessing of the used components, remanufacturing, examining and reassembling of the remanufactured equipment.…”

Section: Introductionmentioning

confidence: 99%

Residual Stress Analysis of Laser Remanufacturing

Dong¹,

Song²,

Xiangyi³

et al. 2018

Residual Stress Analysis on Welded Joints by Means of Numerical Simulation and Experiments

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Laser remanufacturing is an advanced repairing method to remanufacture damaged parts based on laser processing, such as laser cladding and laser welding. As a critical factor in determining the remanufacturing quality, residual stress of different laserremanufactured parts was analysed by numerical methods based on deactivating and reactivating element theory, as well as experimental methods such as X-ray diffraction and hole drilling measurements. The distributions and evolution law of residual stress during multipass laser welding of 7A52 high-strength aluminium alloy, and the effects of forming strategy, heat input and solid-state phase transition on residual stress in the laser cladding forming layers of QT 500 cast iron and FV520B high strength steel, were emphatically studied. The simulation results of residual stress fit well with the experimental results, indicating that both residual stress and its accumulation phenomenon would occur during the laser welding and laser cladding forming, and were affected by factors such as welding pass, heat input and phase transition. It is feasible to control residual stress by using cross path forming strategy, less heat input and alloying power materials with low martensite transition point (Ms).

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“…Multi-product lot-sizing problems have been receiving a great attention, for recent publications, see e.g. (Cunha et al, 2017;Macedo et al, 2016;Sifaleras and Konstantaras, 2017). Frequently, due to the variety of products and their demand patterns, the companies follow different production polices for the different products.…”

Section: Introductionmentioning

confidence: 99%

Optimizing make-to-stock policies through a robust lot-sizing model

Agra

Poss

Santos

2018

International Journal of Production Economics

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In this paper we consider a practical lot-sizing problem faced by an industrial company. The company plans the production for a set of products following a Make-To-Order policy. When the productive capacity is not fully used, the remaining capacity is devoted to the production of those products whose orders are typically quite below the established minimum production level. For these products the company follows a Make-To-Stock (MTS) policy since part of the production is to fulfill future estimated orders. This yields a particular lotsizing problem aiming to decide which products should be produced and the corresponding batch sizes. These lot-sizing problems typically face uncertain demands, which we address here through the lens of robust optimization. First we provide a mixed integer formulation assuming the future demands are deterministic and we tighten the model with valid inequalities. Then, in order to account for uncertainty of the demands, we propose a robust approach where demands are assumed to belong to given intervals and the number of deviations to the nominal estimated value is limited. As the number of products can be large and some instances may not be solved to optimality, we propose two heuristics. Computational tests are conducted on a set of instances generated from real data provided by our industrial partner. The heuristics proposed are fast and provide good quality solutions for the tested instances. Moreover, since they are based on the mathematical model and use simple strategies to reduce the instances size, these heuristics could be extended to solve other multi-item Agostinho Agra ; Michael Poss ; Micael Santos lot-sizing problems where demands are uncertain.

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On multi-item economic lot-sizing with remanufacturing and uncapacitated production

Cited by 21 publications

References 14 publications

Capacitated Remanufacturing Inventory Model Considering Backorder: A Case Study of Indonesian Reverse Logistics

Capacitated Remanufacturing Inventory Model Considering Backorder: A Case Study of Indonesian Reverse Logistics

Residual Stress Analysis of Laser Remanufacturing

Optimizing make-to-stock policies through a robust lot-sizing model

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