Dynamic safety stock in co-production demand-driven wood remanufacturing mills: A case study

Rafiei, Rezvan; Nourelfath, Mustapha; Gaudreault, Jonathan; Santa-Eulalia, Luís Antonio de; Bouchard, Mathieu

doi:10.1016/j.ijpe.2015.03.024

Cited by 15 publications

(12 citation statements)

References 32 publications

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“…We note, however, that although a number of mathematical programming models have been proposed and successfully applied to real-world case studies (reporting the usefulness of safety stock strategies not just in enhancing service levels [113] but also in optimizing production, inventory quantities and backorders [108] , [112] ) optimal planned lead times might be preferable over safety stocks in certain situations [114] .…”

Section: Category Selection and Materials Evaluationmentioning

confidence: 99%

“… [67] Electronics industry VFE A/O –

– – Application of an interactive safety stock method; 26.9% inventory cost savings and 25% stock-out reduction Rafiei et al. [113] Wood remanufacturing industry O A/O –

– 10.7% reduction of backorder quantities Rappold and Yono [111] Process manufacturing industry O A/O –

– Stochastic inventory model that can be used to estimate safety stocks to support a production policy that stabilizes cycle lengths Ruiz-Torres and Mahmoodi [61] Electronics industry O A/O –

– Safety stock determination without making any distributional assumptions; 7% holding costs savings Srivastav and Agrawal [48] Pharmaceutical industry VD A/O

…”

Section: Category Selection and Materials Evaluationmentioning

confidence: 99%

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Operations research models and methods for safety stock determination: A review

Gonçalves

Carvalho

Cortez

2020

Operations Research Perspectives

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Highlights A review on operations research (OR) models and methods for safety stock determination is conducted. No work has yet systematized research focusing on the safety stock determination problem. Articles are classified and discussed regarding the modeling approach, industrial application, solution technique and main performance criteria used. Research opportunities, promising research directions and trends are identified.

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Section: Category Selection and Materials Evaluationmentioning

confidence: 99%

“… [67] Electronics industry VFE A/O –

– – Application of an interactive safety stock method; 26.9% inventory cost savings and 25% stock-out reduction Rafiei et al. [113] Wood remanufacturing industry O A/O –

– 10.7% reduction of backorder quantities Rappold and Yono [111] Process manufacturing industry O A/O –

– Stochastic inventory model that can be used to estimate safety stocks to support a production policy that stabilizes cycle lengths Ruiz-Torres and Mahmoodi [61] Electronics industry O A/O –

– Safety stock determination without making any distributional assumptions; 7% holding costs savings Srivastav and Agrawal [48] Pharmaceutical industry VD A/O

…”

Section: Category Selection and Materials Evaluationmentioning

confidence: 99%

Operations research models and methods for safety stock determination: A review

Gonçalves

Carvalho

Cortez

2020

Operations Research Perspectives

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“…Later, turning the research direction of case study to developed countries, here are also some distinctive findings. Other scholars such as Rafiei et al ( 2015 ), they regarded electronic mechanical as the research objective and utilized the case studies to survey the remanufactured electronic mills in Canada to analyze the dynamic safety stocks of the reman-productions. Researchers are already aware of the environmental benefits brought via remanufacturing industry; hence, Liu et al ( 2016 ) selected the remanufactured cylinder of automobiles as practical case to investigate environmental benefits in China.…”

Section: Literature Reviewmentioning

confidence: 99%

Government regulation and enterprise decision in China remanufacturing industry: evidence from evolutionary game theory

Chen

Cao

Kumar

2020

Energ. Ecol. Environ.

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Currently, the large-scale industrial production has made mountains of scrapped products and inevitably exerts irreversible damage to the nature resource and environment. Under this real situation, remanufacturing industry is able to provide a new path for government and enterprises to deal with the scrapped products and find the new growth point of ecological economy. So, the problem that how to push forward the development of remanufacturing via the regulations of government has become the focus to the scholars and practitioners of enterprises. In this paper, the evolutionary game model was established in order to analyze the optimal strategies for both the government and the enterprises. Based on the obtained results from evolutionary game model, it shows that when the revenues gotten from supervision activities surpass the costs, government will supervise enterprises’ production pattern positively. Meanwhile, if the profits earned by polluted production are higher than it in remanufacturing production, enterprises will keep their patter of production, although they may face the penalties of government. Then, a case study based on the long-term perspective was introduced in order to verify the rationality of the game model in math. The result of this paper shows that the regulation of government will exert the significant influences to firms’ decision about remanufacturing. During the different periods of remanufacturing industry development, government regulations will make different influences.

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“…Alternative Production planning is not simple in this context, particularly when demand varies considerably. In the literature, first papers dealing with planning approaches for this industrial field were Rafiei et al (Rafiei et al, 2014;Rafiei et al, 2015;Rafiei et al, 2016); in which a series of reactive planning approaches is developed and evaluated, making use of complete re-planning approach following a periodic policy and rolling horizons. This kind of reactive planning approaches can provide good results when demands are unpredictable.…”

Section: Introductionmentioning

confidence: 99%

Dealing with Stochasticity in Wood Remanufacturing Operations Planning

Rafiei¹,

Nourelfath²,

Santa-Eulalia³

2021

Int J Math, Eng, Manag Sci

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The planning process of wood remanufacturing operations encompasses challenging characteristic, including divergent co-production (one log tree may produce several different products), alternative processes (different receipts exist to produce the same products), short order cycle, dynamic market behaviour (with highly varying demand) and imperfect raw materials (due to its biological nature, the yield vary considerably). To deal with this complexity, in this paper random demand is modeled as scenario tree and three new predictive multi-stage stochastic programming models are developed with multiple objective functions. After implementing them employing datasets from a wood remanufacturing partner in Canada, the proposed models are compared to a reactive re-planning approach. The obtained results indicate that the new models exhibit higher quality solutions in comparison with their corresponding deterministic two-stage models. We also determine the number of stages for which the multi-stage programs provide better planning than the re-planning approach.

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Dynamic safety stock in co-production demand-driven wood remanufacturing mills: A case study

Cited by 15 publications

References 32 publications

Operations research models and methods for safety stock determination: A review

Operations research models and methods for safety stock determination: A review

Government regulation and enterprise decision in China remanufacturing industry: evidence from evolutionary game theory

Dealing with Stochasticity in Wood Remanufacturing Operations Planning

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