The Impact of Product Lifecycle on Capacity Planning of Closed‐Loop Supply Chains with Remanufacturing

Georgiadis, Patroklos; Vlachos, Dimitrios; Tagaras, George

doi:10.1111/j.1937-5956.2006.tb00160.x

Cited by 117 publications

(96 citation statements)

References 27 publications

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“…The impact of product life cycle and the corresponding variation in demand on the total supply chain were not focused in CLSC network. This gap was first identified by Georgiadis, Vlachos and Tagaras (2006) with the implications of capacity planning issues in the process of PLC. Their result shows that collection and remanufacturing capacity policies are insensitive to the total product demand.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal inventory policy in a closed loop supply chain system with multiple periods

Arumugam

Natarajan

Sapabathy

et al. 2017

JIEM

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Abstract:Purpose: This paper aims to model and optimize the closed loop supply chain for maximizing the profit by considering the fixed order quantity inventory policy in various sites at multiple periods.Design/methodology/approach: In forward supply chain, a standard inventory policy can be followed when the product moves from manufacturer, distributer, retailer and customer but the inventory in the reverse supply chain of the product with the similar standard policy is very difficult to manage. This model investigates the standard policy of fixed order quantity by considering the three major types of return-recovery pair such as commercial returns, end-ofuse returns, end -of-life returns and their inventory positioning at multiple periods. The model is configured as mixed integer linear programming and solved by IBM ILOG CPLEX OPL studio. Findings:To find the performance of the model a numerical example is considered for a product with three Parts (A which of 2nos, B and C) for 12 multiple periods. The results of the analysis show that the manufacturer can know how much should to be manufacture in multiple periods based on Variations of the demand by adopting the FOQ inventory policy at different sites considering its capacity constraints. In addition, it is important how much of parts should be purchased from the supplier at the given 12 periods.-237-Journal of Industrial Engineering and Management -https://doi.org/10.3926/jiem.2205 Originality/value: A sensitivity analysis is performed to validate the proposed model two parts.First part of the analysis will focus on the inventory of product and parts and second part of analysis focus on profit of the company. The analysis which provides some insights in to the structure of the model.

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Section: Literature Reviewmentioning

confidence: 99%

Optimal inventory policy in a closed loop supply chain system with multiple periods

Arumugam

Natarajan

Sapabathy

et al. 2017

JIEM

View full text Add to dashboard Cite

show abstract

“…Investigations were undertaken by Georgiadis and colleagues at the University of Thessaloniki using SD to model a range of closed loop supply chains which included a remanufacturing component (Georgiadis et al [42], Vlachos et al [31], Georgiadis and Politou [43], Georgiadis [44], and Georgiadis and Athanasiou [45]). The earliest of these papers shows the effect of changes in product lifecycle on the overall performance of the process.…”

Section: Reviewmentioning

confidence: 99%

Inventory Control Systems Model for Strategic Capacity Acquisition

White

Censlive

2016

Journal of Industrial Engineering

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Variation of installed industrial capacity has been found to follow a cyclic pattern. This paper discusses the application of control theory to the problem of the timely acquisition of extra production capacity. The control system based model presented here is compared with a System Dynamics model proposed by Sterman. Key differences are the method of implementing rational decisions about deployment of extra capacity and the use of a nonlinear APVIOBPCS inventory model. Benefits of this new model are a more measurable process and the ability to select parameter values to optimise capacity deployment. Simulation of the model indicates that the results found by Sterman underestimate the production backlog and time taken to reach equilibrium. The use of a Proportional, Integral, and Derivative (PID) controller in the capacity control loop model illustrates that it is possible not only to alter the backlog levels but at the same time to reduce the sales force and improve the revenue. The model also shows clearly that the impact of not increasing capacity promptly results in catastrophic failure of sales as a structural, rather than a business, problem. This model is simple enough to be implemented as a spreadsheet for use as a guide by managers.

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“…Such stochastic routing and processing time add difficulties to capacity and resource planning (Georgiadis et al 2006), scheduling (Souza and Ketzenberg 2002) and inventory control (Inderfurth and van der Laan 2001).…”

Section: Stochastic Routings and Highly Variable Processing Timesmentioning

confidence: 99%

Core Acquisition Management in Remanufacturing : Current Status and Modeling Techniques

Wei

2015

Linköping Studies in Science and Technology. Dissertations

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Remanufacturing is an important product recovery option that benefits our sustainable development. Cores, i.e. the used products/parts, are essential resources for remanufacturing. Without cores, there will not be any remanufactured products. Challenges in the core acquisition process are mainly caused by the uncertainties of: return volume, timing and core quality. Core Acquisition Management actively attempts to reduce these uncertainties and achieve a better balance of demand and return for the remanufacturers. The aim of this dissertation is to extend the knowledge of Core Acquisition Management in remanufacturing, by investigating the current status of research and industrial practice, and developing quantitative models that assist the decision making in the core acquisition process.In the dissertation, a literature review is firstly conducted to provide an overview about the current research in Core Acquisition Management. Possible further research interests, for example, more studies based on non-hybrid remanufacturing systems and imperfect substitution assumption are suggested. Through an industrial survey carried out in a fast developing remanufacturing market -China, environmental responsibility and ethical concerns, customer orientation and strategic advantage are identified as the most important motives for the remanufacturers, while customer recognition is their most serious barrier at present. Suggestions for further improving the Chinese remanufacturing industry from the policy-makers' perspective are provided. After the above investigation, mathematical models are then developed to assist the acquisition decisions in two aspects: to deal with the uncertainties of return volume and timing, and to deal with the uncertainties of core quality.Acquisition decision about volume and timing is firstly studied from a product life cycle perspective, where the demands for remanufactured products and the core availability change over time. According to industrial observations, the remanufacturing cost decreases with respect to its core inventory. Using optimal control theory, core acquisition and remanufacturing decisions are derived to maximize the remanufacturer's profit. It is found that besides a simple bang-bang type control policy (either collecting as much as possible, or nothing), a special form of synchronizing policy (adjusting the core collection rate with demand rate) also exists. Furthermore, the acquisition decision depends greatly on the valuation of cores, and Real Option Valuation approaches are later used to capture the value of flexibility provided by owning cores when different aspects of remanufacturing environment are random. More specifically, the value of disposing a core earlier is investigated when the price of remanufactured product is uncertain, and the impact of the correlation between stochastic demand and return is also studied.To deal with the uncertainties of core quality, refund policies with different numbers of quality classes are studied. Under the assumption of u...

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The Impact of Product Lifecycle on Capacity Planning of Closed‐Loop Supply Chains with Remanufacturing

Cited by 117 publications

References 27 publications

Optimal inventory policy in a closed loop supply chain system with multiple periods

Optimal inventory policy in a closed loop supply chain system with multiple periods

Inventory Control Systems Model for Strategic Capacity Acquisition

Core Acquisition Management in Remanufacturing : Current Status and Modeling Techniques

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