The stochastic location-routing-inventory problem of perishable products with reneging and balking

Aghighi, Azam; Goli, Alireza; Malmir, Behnam; Tirkolaee, Erfan Babaee

doi:10.1007/s12652-021-03524-y

Cited by 25 publications

(24 citation statements)

References 48 publications

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“…MA expedites the process of finding the global optima and avoids premature convergence by balancing the exploration of the search space using GA while enabling the exploitation of the current neighbourhood using local search. MA has been successfully applied in solving various combinatorial problems such as scheduling [70], vehicle routing [47], assignment problems [46], supply chain network [69] and location routing [1,48]. MA has also been used in solving healthcare planning problems such as ambulance routing [28,75] and home healthcare planning [32].…”

Section: Solution Methodologymentioning

confidence: 99%

“…The non-linear equations are then linearised in Section 3.2.4 using Special Ordered Set 2 (SOS2) type variables. (1) The objective function in (1) maximises the total performance measure value of the station locations in all periods. The performance measures are defined as a function of the mean travel time 𝑇 𝑖𝑗 from station j to zone i.…”

Section: Mathematical Formulationmentioning

confidence: 99%

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Ambulance location under temporal variation in demand using a mixed coded memetic algorithm

2022

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Emergency medical services (EMS) are among the most important services in any society due to their role in saving people's lives and reducing morbidities. The location of ambulance stations and the allocation of ambulances to the stations is an important planning problem for any EMS system to ensure adequate coverage while minimising the response time. This study considers a mixed-integer programming model that determines the ambulance locations by considering the time of day variations in demand. The presented model also considers heterogeneous performance measures based on survival function and coverage for different patient types with varying levels of urgency. A memetic algorithm based-approach that applies a mixed chromosome representation for solutions is proposed to solve the problem. Our computational results indicate that neglecting time-dependent variation of demand can underestimate the number of ambulances required by up to 15% during peak demand. We also demonstrate the effectiveness of the proposed solution approach in providing good quality solutions within a reasonable time.

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Section: Solution Methodologymentioning

confidence: 99%

Section: Mathematical Formulationmentioning

confidence: 99%

Ambulance location under temporal variation in demand using a mixed coded memetic algorithm

2022

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“…A stock-dependent demand has been considered in the model demonstrated by Pervin et al [39]. Aghighi et al [1] studied an inventory location-routing problem for perishable products under stochastic environment. They have solved their formulated problem by genetic algorithm and GAMS software.…”

Section: Inventory Model For Deteriorating Productsmentioning

confidence: 99%

Impacts of green and preservation technology investments on a sustainable EPQ model during COVID-19 pandemic

Barman

Pervin²,

Roy

2022

RAIRO-Oper. Res.

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Carbon and Sulfur dioxides emissions are the key issues of global warming that affects on human health. Emissions cap- and -trade policy is a key mechanism implemented in several countries to reduce the emissions. Nowadays, public gathering is restricted due to the pandemic situation caused by COVID-19. As a result, people are facing huge problems in their regular activities and lifestyle. During the lockdown periods, demands for few merchandises decrease and the deterioration rate increases. Moreover, because of the unavailability of raw materials and labours during the lockdown, shortages occur at the manufacturing company. Keeping these problems in mind, a multi-objective sustainable economic production quantity model is proposed with partially back-ordering shortages, in which the effects of sustainability are investigated. To handle the demand fluctuation throughout the current pandemic, emergency level dependent demand rate is assumed. To reduce greenhouse gases emissions and deterioration rate, investments in green technology and preservation technology efforts are used. The objectives of this study are to maximize the manufacturer’s profit and minimize the greenhouse gases emissions for producing green products. The multi-objective model is solved by utilizing the fuzzy goal programming approach. The mathematical model is illustrated by four numerical examples. The main finding of the work is that under both green and preservation technologies investments, a sustainable model with partially back-ordering shortages and lockdown level dependent demand rate decreases justifiable greenhouse gases emissions and increases the product’s greening level. The results indicate that the system profit is increased by 16.1% by investing in both preservation and green technology. Furthermore, a sensitivity analysis is performed along with some managerial insights for practitioners. Finally, the paper is ended with conclusions and future research tips.

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“…On the one hand, the fresh-keeping efforts of fresh agricultural products has always been a hot topic of academic research, different scholars have studied it from different angles and with different methods, and the results are rich. Some scholars believed that the spoilage of perishable products can be reduced through path optimization (Aghighi et al [1]). Some scholars believed that the freshness of fresh agricultural products can be improved by stimulating investment in preservation (Moon et al [10]).…”

Section: Introductionmentioning

confidence: 99%

Fresh agricultural products supply chain coordination considering consumers' dual preferences under carbon cap-and-trade mechanism

Yang¹,

G²

2023

JIMO

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<p style='text-indent:20px;'>In order to achieve the goal of "carbon neutral" development, under the conditions of carbon quota trading policy, consumers' preference for fresh agricultural products and low-carbon preference, this paper discusses the equilibrium decision-making problem of a two-level fresh agricultural products supply chain. And the cost sharing contract and the two-part pricing contract are introduced to coordinate the supply chain. The results show that: the fresh-keeping and low-carbon efforts made by fresh produce suppliers are related to consumers' preferences, fresh-keeping costs, low-carbon costs, fresh-keeping carbon emission factors, and carbon reduction efficiency; under certain conditions, both the cost sharing contract and the two-part pricing contract can coordinate the supply chain of fresh agricultural products; given certain costs and carbon reduction efficiency, which contract retailers choose depends on consumers' consumption preferences and the size of the supplier's initial carbon emissions; when both contracts are valid, it is more advantageous for the retailer to choose two-part pricing contract; the higher the carbon trading price, the better the incentive effect on suppliers' fresh-keeping efforts and low-carbon efforts.</p>

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The stochastic location-routing-inventory problem of perishable products with reneging and balking

Cited by 25 publications

References 48 publications

Ambulance location under temporal variation in demand using a mixed coded memetic algorithm

Ambulance location under temporal variation in demand using a mixed coded memetic algorithm

Impacts of green and preservation technology investments on a sustainable EPQ model during COVID-19 pandemic

Fresh agricultural products supply chain coordination considering consumers' dual preferences under carbon cap-and-trade mechanism

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