A simulation-optimisation approach for production control strategies in perishable food supply chains

Qasem, Ahmed Gailan; Aqlan, Faisal; Shamsan, Abdulrahman; Alhendi, Mohammed

doi:10.1080/17477778.2021.1991850

Cited by 11 publications

(8 citation statements)

References 40 publications

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“…It should be noted that although some studies consider only single products, the existence of discounting mechanisms, e.g. Qasem et al (2021), or multiple demands for age-differentiated products, e.g., Alrawabdeh (2021, created multiple streams which were modelled through DES.…”

Section: Product Variants and Issuing Policymentioning

confidence: 99%

“…Six studies include models that implement FIFO logic, with three considering both FIFO and LIFO. Qasem et al (2021) modelled the first-expiredfirst-out (FEFO) policy, and Alrawabdeh (2021) implemented a bespoke model based on age. Aspects of customer behaviour when selecting products were incorporated by Rijpkema et al (2014) and Kiil et al (2018), which employed mixed FIFO/LIFO logic, to represent the alternative consumer decisions of whether to take the freshest product, or select the product in front of the shelf.…”

Section: Product Variants and Issuing Policymentioning

confidence: 99%

“…In our sampled literature, the uncertainty around demand is acknowledged and incorporated in the modelling, with all the publications considering non-constant demand (Table 5). Random demand models are considered in 13 out of the 16 publications, of which seven (Abbasi et al, 2017;Baesler et al, 2014;Ejohwomu et al, 2021;Galal & El-Kilany, 2016;Kiil et al, 2018;Qasem et al, 2021;Xue et al, 2019) are based on fitting to historical data. In contrast, studies by Sharda & Akiya (2012) and Osorio et al (2017) relied on historical data without distribution fitting.…”

Section: Modelling Uncertaintymentioning

confidence: 99%

“…Sharda & Akiya (2012) allude to the management's involvement in the problem specification stage of their chemical plant modelling study, although no further stakeholder involvement was apparent. Qasem et al (2021) discussed the results of their DES study on milk production with the management; however, there is no mention of stakeholder engagement in the earlier stages of the study. An exception is a work by Osorio et al (2017).…”

Section: Author Biographymentioning

confidence: 99%

See 3 more Smart Citations

Proceedings of SW21 The OR Society Simulation Workshop

2023

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Simulation, and now digital twins, excel in estimating parameters associated with complex and timedependent stochastic processes, e.g., large airport, highway, and warehouse operations. Within such contexts, we consider statistical inference, whereby one seeks to quantify the error in the obtained simulation estimate. Historically, statistical inference in simulation has been considered challenging because parameters needing estimation are often complicated, and simulation output often autocorrelated and non-normal. However, we argue that the remarkably simple idea of batching can be used as an "omnibus" inference device in simulation settings. Batching for inference works in three simple steps: (i) divide simulation output data into overlapping batches; (ii) construct parameter estimates from each batch; and (iii) use the batch estimates, after accounting for dependence, to perform statistical inference. As we describe in this paper, the resulting procedures are usually trivial to implement in software, and are provably correct and efficient. Batching ideas originated in the 1950s, and have enjoyed steady development in the simulation community since the 1970s mostly within the problem of variance estimation. Our thesis is that batching ideas have much wider utility, and that batching should be considered alongside other resampling ideas such as the bootstrap or the jackknife in modern statistics.

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Section: Product Variants and Issuing Policymentioning

confidence: 99%

Section: Product Variants and Issuing Policymentioning

confidence: 99%

Section: Modelling Uncertaintymentioning

confidence: 99%

Section: Author Biographymentioning

confidence: 99%

See 2 more Smart Citations

Proceedings of SW21 The OR Society Simulation Workshop

2023

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show abstract

“…Six studies include models that implement FIFO logic, with three considering both FIFO and LIFO. Qasem et al (2021) modelled the first-expiredfirst-out (FEFO) policy, and Alrawabdeh ( 2021) implemented a bespoke model based on age. Aspects of customer behaviour when products were incorporated by Rijpkema et al (2014) and Kiil et al (2018), which employed mixed FIFO/LIFO logic, to represent the alternative consumer decisions of whether to take the freshest product, or select the product in front of the shelf.…”

Section: Product Variants and Issuing Policymentioning

confidence: 99%

Discrete-Event Simulation to Support the Management of Perishable Inventory – A Review

Staff¹,

Mustafee²

2023

Proceedings of SW21 the OR Society Simulation Workshop

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The importance of inventory management has been widely acknowledged both in practice and in academic research, with perishable products constituting an additional complexity in the field. Discrete Event Simulation (DES) is amongst the most frequently used Operations Research methods that allow the incorporation of stochasticity (reflective of the real-world environment) in modelling the system of interest. Beyond providing a general overview of the publications, the review provides a more detailed analysis of model characteristics (e.g., model objectives and outputs, issuing policy), focusing on supply and demand uncertainty, and identifies possible opportunities for further research. As the first review paper in this area, our work will serve as a key reference on the state-of-the-art in DES for inventory control and its application in the management of supply chains in healthcare, retail and domains that handle perishable inventory. Amongst the important findings is that lifetime is generally assumed to be known a priori, neglecting the product lifetime uncertainty.

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Sustainable and resilient cold chains: Enhancing adaptability, consistency, and digital transformation for success in a turbulent market

Vandana,

Sangwa,

Ertz

et al. 2024

Bus Strat Env

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Sustainable and resilient cold chains (CC) are the backbone of several industries, ensuring the seamless transport and storage of temperature‐sensitive products ranging from fresh produce and pharmaceuticals to life‐saving vaccines. Particularly in times of disruptions, such as natural disasters or global health crises, the sustainability and resilience of CCs become even more crucial, highlighting the urgent need for research, innovation, and strategic planning in this domain. This study conducted a systematic review of the sustainable and resilient CC research literature. A total of 143 high‐quality articles were shortlisted from the Web‐of‐Science (WoS) database for in‐depth content analysis. This review clarifies the existing results and highlights the trending themes and persistent gaps in research pertaining to CC in a business context and at a strategic level. It covers notably disruptions and related impacts, the relationship between sustainability and resilience in CC, decision tools for sustainable and resilient CC, CC sustainability and resilience performance areas and measurement metrics, data‐driven digital transformation for sustainable and resilient CC, and strategies for developing sustainable and resilient CC strategies. The results reveal that research on sustainable and resilient CC is growing; however, the field remains dominated by research methods that need to establish causality formally. Furthermore, the research area is fragmented into several subareas, and more conceptual and theoretical work is needed to advance the theoretical foundation of the domain. Finally, a proposed research agenda suggests 17 future avenues for improving the contribution to sustainable and resilient CC research.

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A simulation-optimisation approach for production control strategies in perishable food supply chains

Cited by 11 publications

References 40 publications

Proceedings of SW21 The OR Society Simulation Workshop

Proceedings of SW21 The OR Society Simulation Workshop

Discrete-Event Simulation to Support the Management of Perishable Inventory – A Review

Sustainable and resilient cold chains: Enhancing adaptability, consistency, and digital transformation for success in a turbulent market

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