Heuristics for demand-driven disassembly planning

Langella, Ian M.

doi:10.1016/j.cor.2005.03.013

Cited by 71 publications

(33 citation statements)

References 26 publications

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“…This commonality may be within a product, or, in the case of multi-product environments, the part commonality may be across products (commonality). Although both commonalities provide firms with several advantages such as economies of scale in purchasing, learning curve effect, they also complicate planning the disassembly and calculating the optimal number of cores needed to fulfill demand for parts (Langella, 2007). The same part can be disassembled from different cores with different costs.…”

Section: Figure 1 Product Recovery Optionsmentioning

confidence: 99%

“…The present study enables the decision maker to choose between these two options -disassembly versus purchase of new parts to manufacture new units -to maximize cost effectiveness. In another paper related to this study, Langella (2007) treats both disassembly and purchase of new parts to minimize the total cost of remanufacturing, thereby making an improvement to an earlier heuristic algorithm . However, unlike this study, he assumes individual core disassembly times (independent of the number of parts in the core) and zero lead times for cores and new parts.…”

Section: Figure 1 Product Recovery Optionsmentioning

confidence: 99%

“…Additionally, the complexity will be O(2 n*h ) while the model is solved for h periods. Langella (2007) indicates that complexity will increase exponentially with the number of cores, intermediate items, parts and planning periods. Our model can solve mid-size problems within a reasonable amount of CPU time.…”

Section: Conclusion and Future Researchmentioning

confidence: 99%

See 2 more Smart Citations

A Mathematical Modeling Approach for Materials Requirements Planning in Remanufacturing

Erol¹,

Nakiboğlu²

2017

berj

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Section: Figure 1 Product Recovery Optionsmentioning

confidence: 99%

Section: Figure 1 Product Recovery Optionsmentioning

confidence: 99%

See 1 more Smart Citation

A Mathematical Modeling Approach for Materials Requirements Planning in Remanufacturing

Erol¹,

Nakiboğlu²

2017

berj

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“…Many studies assume that remanufacturing is conducted by small size independent remanufacturers that organise MTO, for example Ketzenberg, Souza and Guide (2003), Tang et al (2007) and Langella (2007).…”

Section: Mto Versus Mts Orientationmentioning

confidence: 99%

Disassembly for remanufacturing: A systematic literature review, new model development and future research needs

Priyono

Ijomah

Bititci

2016

JIEM

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Abstract:Purpose: Disassembly is an important process that distinguishes remanufacturing from conventional manufacturing. It is a unique process that becomes focus of investigation from many scholars. Yet, most scholars investigate disassembly from technical and operational standpoint that lack of strategic perspective. This paper attempts to fill this gap by looking at disassembly from a strategic perspective by considering organisational characteristics, process choices and product attributes. To be more specific, this paper has three objectives. First, to gain understanding what has been done, and what need to be done in the field of disassembly in remanufacturing. Second, to conduct a systematic literature review for identifying the factors affecting disassembly for remanufacturing. Third, to propose a new model of disassembly for remanufacturing and also to provide avenues for future research.Design/methodology/approach: This study used a systematic literature review method. A series of steps were undertaken during the review. The study was started with determining the purpose of the study, selecting appropriate keywords, and reducing the selected papers using a number of criteria. A deeper analysis was carried out on the final paper that meets the criteria for this review.-899- 2053 Findings: There are two main findings of this study. First, a list of factors affecting disassembly in remanufacturing is identified. The factors can be categorised into three groups: organisational factors, process choices and product attributes. Second, using factors that have been identified, a new model of disassembly process for remanufacturing is developed. Current studies only consider disassembly as a physical activity to break down products into components. In the new model, disassembly is viewed as a process that converts into into output, which consist of a series of steps. Journal ofIndustrial Engineering and Management -http://dx.doi.org/10.3926/jiem. Research limitations/implications:The opportunities for future research include: the need to develop an index of factors affecting disassembly, and how to most appropriate relationship between original equipment manufacturers and contract remanufacturers to share knowledge gained from remanufacturing operations to improve product remanufacturability. Practical implications:Remanufacturers should not focus on product attributes only in order to manage their disassembly process efficiently. Rather, more strategic factors such organisational factors and process choices should also be considered as well.Originality/value: This is the first study that identifies a comprehensive factors affecting disassembly in remanufacturing. In addition, it is for the first time that disasembly is not only viewed as a physical activity, but it is a process that consists of a series of step.

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“…The purchase or procurement is also inevitable if demand is never lost even if a shortage occurs. Langella [14] considers five cost drivers, that is, core procurement cost, separation costs, holding costs, leaf procurement costs, and disposal costs in disassembly planning. The present study proposes a simulation-based estimation method for estimating the total cost under varying inventory bounds.…”

Section: Introductionmentioning

confidence: 99%

Disassembly Planning Based on the Linear Inflation Rule Under Stochastic Demand and Yield

Morikawa¹,

Takahashi²,

Nagasawa³

2018

dtetr

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The present study focuses on two stochastic elements, i.e., demand and yield, in planning the disassembly. The disassembly operation produces multiple types of parts, and the demand for each part type is generated independently. The present study applies the linear inflation rule (LIR) to the disassembly planning. The LIR defines the order quantity to minimize the expected cost by using a simple equation. The LIR assumes a single type of output. Thus the present study applies LIR to a selected part to obtain the quantity to be disassembled. This method may produce excess inventory or incur shortage in other parts. Thus it is allowed to dispose disassembled parts or purchase new parts adequately. As the selection of the maximum and minimum inventory levels greatly affects the performance, a single simulation run is applied, and the collected data are utilized to estimate the total cost under the different levels of maximum and minimum inventory. The effectiveness of the proposed method is confirmed through the numerical experiments.

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Heuristics for demand-driven disassembly planning

Cited by 71 publications

References 26 publications

A Mathematical Modeling Approach for Materials Requirements Planning in Remanufacturing

A Mathematical Modeling Approach for Materials Requirements Planning in Remanufacturing

Disassembly for remanufacturing: A systematic literature review, new model development and future research needs

Disassembly Planning Based on the Linear Inflation Rule Under Stochastic Demand and Yield

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