Expiration dates and order quantities for perishables

Ketzenberg, Michael; Gaukler, Gary M.; Salin, Victoria

doi:10.1016/j.ejor.2017.10.005

Cited by 49 publications

(20 citation statements)

References 31 publications

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“…According to an inventory control problem of aircraft spare parts during the end-of-life (EOL) phase of fleet operations, Hur, Keskin and Schmidt (2018) presented an algorithm that computes the optimal final order size of components under a budget constraint [21]. Ketzenberg, Gaukler and Salin (2018) addressed the problem of how to set expiration dates for perishable products to balance hazard costs and perishing costs in the context of a retailer that sells a random lifespan product under periodic review [22]. In order to select a final design representing the best trade-off between safety and economy, in a life-cycle perspective, Venanzi et al (2019) proposed an automated procedure for the estimation of lifecycle repair costs of different bridge design solutions [23].…”

Section: Total Cost Assessment With the Consideration Of Lifespanmentioning

confidence: 99%

Optimal Machine Stopping Time and Ordering Cycle for Parts to Minimize the Total Cost of a Supply Chain

Cao

Sarker

2021

IEEE Access

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Many parts or components in a facility are sometime vulnerable to failure causing downtime and production loss. So, in order to decrease the downtime, parts of the same type that follow the same lifespan distribution need to be replaced at least once to minimize the cost of unscheduled labor and the damages to the products. A decision on replacing all such vulnerable parts decreases the total cost including penalty cost, purchasing cost and holding cost. Different preempt times of a machine result in different purchasing quantity, procurement cost and carrying costs. So, a rational decision of allowable stopping time of a machine and order cycle for vulnerable parts jointly minimizes the total cost of supply chain. This study proposes a novel model to minimize the total cost for the vulnerable parts which have joint influence on machine performance. An integrated nonlinear cost model developed here is optimally solved and tested with several different distributions. Strong results are propounded to support the proposed model in terms of manufacturing time and system cost.INDEX TERMS Tool life, condition monitoring, preventive maintenance, allowable stopping time, procurement, operations planning and probabilistic models.

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Section: Total Cost Assessment With the Consideration Of Lifespanmentioning

confidence: 99%

Optimal Machine Stopping Time and Ordering Cycle for Parts to Minimize the Total Cost of a Supply Chain

Cao

Sarker

2021

IEEE Access

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“…Adenso-Diaz et al (2017) and Buisman et al (2017) also present studies on using dynamically-set shelf life and offering dynamic pricing based on remaining life [35,36]. Most recently, Ketzenberg et al (2018) derive inventory control and expiration dating policies where a hazard cost of selling perished units is considered, and provide insights on the link between perishability and inventory cost [37].…”

Section: Value Of Informationmentioning

confidence: 99%

The Value of Demand Information in Omni-Channel Grocery Retailing

Siawsolit¹,

Gaukler²

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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As e-commerce reaches one of the last strongholds of traditional fulfillment, how can grocers leverage the omni-channel trend and stay competitive in today's changing market landscape? To improve operating outcomes and address food waste concerns, this study investigates various scenarios in which the grocery retailer accepts online orders in advance. We examine the value of advance demand information through a Markov Decision Process-based model, in terms of changes to expected profits, outdating, freshness, and several inventory and service performance metrics. Our results indicate that when the demand lead time is longer than the replenishment lead time, close to 20% safety stock reduction on average can be achieved, leading to a 15% decrease in product deterioration and 26% less outdating. In some cases, we also find that it is possible to profitably offer discounted prices in exchange for the customer's future demand information.

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“…Consequently, both service and customer loyalty would be improved by optimizing the cross-docking process. In the context of this strategy, supply time and its adaptation to demand would be a critical point to consider as we deal with products not apt for long storage periods [ 25 ]. This strategy would also have positive consequences on the reduction of waste both in storage centers at the place of origin and at retail points of sale (by increasing their shelf life).…”

Section: Introductionmentioning

confidence: 99%

Addressing the Location Problem of a Perishables Redistribution Center in the Middle of Europe

Mesa

Serrano‐Arcos

Jiménez-Guerrero

et al. 2021

Foods

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This work aims to contribute to the debate on practical utilization of different location models for consolidation, redistribution, and repackaging centers in a supply chain to optimize shipments, thereby reducing food loss and waste, within the framework of quality of customer service improvement. The scenario in question is the creation of a redistribution center for highly perishable products (fruits and vegetables) from southeast Spain—the leading European supplier—for customers throughout Europe. It is estimated that 10% of exports (more than 530,000 metric tons) from this area are returned by customers due to minor defects. These products cannot be reused and are therefore wasted. Regarding the methodology, comparisons were made between the p-median, gravity p-median, and p-center models. Scenarios of change in demand and randomness in distances were also tested. In addition, the modelling used included the cost and time within a multicriteria optimization framework to assess the possibility of a transport mode change. It was observed, for example, that the gravity p-median model proved useful for perishable products and the logistics strategy chosen. Furthermore, the p-median model displayed strong robustness against long-term changes in demand and random distances. In general, it was demonstrated that this strategy would successfully reduce the response time and distance of shipment from the distribution center to the customers and thereby improve sustainability of the service, reducing the waste related to direct shipments. Furthermore, this research also demonstrated the difficulty of using intermodality in this context, mainly due to transit time, which would undoubtedly increase the waste generated.

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Expiration dates and order quantities for perishables

Cited by 49 publications

References 31 publications

Optimal Machine Stopping Time and Ordering Cycle for Parts to Minimize the Total Cost of a Supply Chain

Optimal Machine Stopping Time and Ordering Cycle for Parts to Minimize the Total Cost of a Supply Chain

The Value of Demand Information in Omni-Channel Grocery Retailing

Addressing the Location Problem of a Perishables Redistribution Center in the Middle of Europe

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