Two-product storage-capacitated inventory systems: A technical note

Beemsterboer, Bart; Teunter, Ruud H.; Riezebos, Jan

doi:10.1016/j.ijpe.2016.03.015

Cited by 6 publications

(5 citation statements)

References 14 publications

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“…Also, the company can produce products with almost the same quality as new products because it can choose and know the consumables that will be processed back into remanufacturing products. Some previous studies that discussed the effect of variables on costs incurred by the company [1], Beemsterboer et al [42]. Their research shows that storage capacity affects storage costs and total costs, as well as policies regarding ordering decisions.…”

Section: E Management Implicationsmentioning

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: E Management Implicationsmentioning

confidence: 99%

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

et al. 2019

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“…The general form of TC/ for the four cases is shown in (8). Solving the equations results in the general expression for in (9).…”

Section: Mathematical Model To Find Andmentioning

confidence: 99%

“…In the first category, recent studies include Mandal et al [1], Zhao et al [2], Chou et al [3], Zhao et al [4], Zhong and Zhou [5], Pan et al [6], Ghosh et al [7], Beemsterboer et al [8], and Zhang and Rajaram [9]. Among them, studies that focused on ( , ) policy are Zhao et al [2], Zhao et al [4], and Pan et al [6].…”

Section: Introductionmentioning

confidence: 99%

Mathematical Model of (R, Q) Inventory Policy under Limited Storage Space for Continuous and Periodic Review Policies with Backlog and Lost Sales

Singha

Buddhakulsomsiri

Parthanadee

2017

Mathematical Problems in Engineering

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This paper involves developing new mathematical expressions to find reorder point and order quantity for inventory management policies that explicitly consider storage space capacity. Both continuous and periodic reviews, as well as backlogged and lost demand during stockout, are considered. With storage space capacity, when on-hand inventory exceeds the capacity, the over-ordering cost of storage at an external warehouse is charged on a per-unit-period basis. The objective is to minimize the total cost, consisting of ordering, shortage, holding, and over-ordering costs. Demand and lead time are stochastic and discrete in nature. Demand during varying lead time is modeled using an empirical distribution so that the findings are not subject to assumptions of demand and lead time probability distributions. Due to the complexity of the developed mathematical expressions, the problems are solved using an iterative method. The method is tested with problem instances that use real data from industry. Optimal solutions of the problem instance are determined by performing exhaustive search. The proposed method can effectively find optimal solutions for continuous review policies and near optimal solutions for periodic review policies. Fundamental insights about the inventory policies are reported from a comparison between continuous review and periodic review solutions, as well as a comparison between backlog and lost sales cases.

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“…The reduced costs, eradication of non-value-added activities (NVAs), demand forecasting, and process integration are fundamental to modern manufacturing enterprises (Mor et al, 2021(Mor et al, , 2019Chen and Simchi-Levi, 2004). Beemsterboer et al (2016), Pauls-Worm et al (2016 considered a general class where the order quantity of the products is permitted to differ where the closed-form expressions are used to determine the optimal order numbers. Approx.…”

Section: Introductionmentioning

confidence: 99%

Achieving cost efficiency through increased inventory leanness: Evidence from manufacturing industry

Mor

Kumar

Yadav

et al. 2021

Production Engineering Archives

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Inventory management’s fundamental problem starts with maintaining equilibrium among the operating efficiency, cost of investment, and other allied costs with extensive inventories to keep the actual conflicts at the minimum while optimizing the inventory holding levels. But, inventory management practices have not been well exploited in various manufacturing industries yet. In this study, inventory management tools, i.e., ABC and VED analysis, have been applied in the manufacturing industry, considering 146 items as raw material for an assembly. A total of 15 items under ‘AV’ class have been identified that consume 82.05 % of the total cost, and these items need strict control and frequent ordering. Sigma level of suppliers is also calculated, which comes out to be 2.36, and it must be improved to reduce the overall inventory cost.

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Two-product storage-capacitated inventory systems: A technical note

Cited by 6 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

Mathematical Model of (R, Q) Inventory Policy under Limited Storage Space for Continuous and Periodic Review Policies with Backlog and Lost Sales

Achieving cost efficiency through increased inventory leanness: Evidence from manufacturing industry

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