A joint production-workforce-delivery stochastic planning problem for perishable items

Farghadani-Chaharsooghi, Pedram; Kamranfar, Pooria; Alehashem, M.; Rekik, Yacine

doi:10.1080/00207543.2021.1985736

Cited by 11 publications

(8 citation statements)

References 74 publications

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“…Generally speaking, while the tradeoffs in any inventory management system essentially involve ordering costs, holding costs, and shortage costs, the perishability characteristics of a product introduces additional tradeoffs related to the prices and the losses resulting from deterioration. Hence, a wide body of research on the joint design of optimal inventory management and pricing policies for perishable products has been developing over the last few decades (Chan et al, 2004 ; Chen & Chen, 2015 ; Elmaghraby & Keskinocak, 2003 ; Farghadani-Chaharsooghi et al, 2021 ; Petruzzi & Dada, 1999 ; Sazvar et al, 2013 ; Yano & Gilbert, 2004 ). It is pertinent to note that the majority of this study was focused on the study of systems that deal with single-product inventory management, while there is still a lack of work that addresses the case of multiple products (Chen & Chen, 2015 ).…”

Section: Literature Reviewmentioning

confidence: 99%

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Combination of pricing and inventory policies for deteriorating products with sustainability considerations

Edalatpour

Al-e-hashem

Fathollahi-Fard

2023

Environ Dev Sustain

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Economic, environmental, and social criteria are all being taken into consideration simultaneously when determining pricing policies or inventory levels in sustainable production management. The combination of pricing and inventory policies is an important source of leverage for the efficient management of perishable products. This paper, among the first studies, proposes the problem of devising optimal pricing and inventory management decisions simultaneously where the environmental and social criteria are contributed for perishable complementary products replenished and sold by the same company. This study considers two interrelated price-sensitive linear demand functions to consider the possibility of shortage with both budget and warehouse capacity constraints. Another contribution of the proposed model is to consider an upper bound for environmental pollution and a lower bound for job opportunities as the constraints to the model. As a complex optimization model, the challenge of complexity is addressed by a heuristic algorithm for finding an optimal solution. After an extensive analysis using numerical examples, some managerial insights are concluded from the results. One finding from these analyses confirms that the total capacity of the warehouse, the total available budget, carbon emissions, and variable job opportunities have a high impact on the optimal solution to find a balance between sustainability criteria for making pricing and inventory policies.

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Section: Literature Reviewmentioning

confidence: 99%

“…In various business sectors and supply chains, perishable products play a significant role (Farghadani-Chaharsooghi, et al, 2021 ; Majidi et al, 2022 ). Perishables such as meat, fish, and dairy produce accounted for 53.67% of approximately $485.5 billion in sales revenues at US supermarkets in 2014.…”

Section: Introductionmentioning

confidence: 99%

Combination of pricing and inventory policies for deteriorating products with sustainability considerations

Edalatpour

Al-e-hashem

Fathollahi-Fard

2023

Environ Dev Sustain

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“…Recently, there has been an increasing focus on incorporating workforce planning into PRPs. This has become a popular area of research as it offers significant potential for improving production and delivery efficiency [16,17]. Farghadani-Chaharsooghi et al [17] combined workforce planning with the PRP to address the specific needs of a company that specializes in processing and delivering organic fruits and vegetables.…”

Section: Literature Reviewmentioning

confidence: 99%

A robust optimization approach for the production-routing problem with lateral transshipment and outsourcing

Farghadani-Chaharsooghi¹,

Karimi²

2023

RAIRO-Oper. Res.

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Despite the fact that there is a large body of literature on the Production Routing Problem (PRP), we were struck by the dearth of research on outsource planning and lateral transshipment. This paper presents a mixed-integer linear programming model for incorporating outsourcing, lateral transshipment, back ordering, lost sales, and time windows into production routing problems. Then a robust optimization model will be introduced to overcome the detrimental effects of demand uncertainty. Considering the scale and complexity of the suggested problem, addressing it in a reasonable time was a challenge. Therefore, three matheuristic algorithms, including Genetic Algorithm, Simulated Annealing, and Modified Simulated Annealing, are developed for solving large-scale problems. Eventually, computational experiments on disparate instances are performed, and the results show the effectiveness and efficiency of the proposed algorithms. In other words, our recommended algorithms outperform the CPLEX solver in terms of the quality and time of obtaining the solutions.

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“…Due to complexity theory for NP-hard optimization problems [80]; nowadays, there is a great deal of interest in development of heuristics and meta-heuristics for decision-making problems like online learning [89], scheduling [6,27,49], multi-objective optimization [46], healthcare [20,23], transportation [22,62], etc. In a similar way, this study develops a hybrid meta-heuristic algorithm for solving the stochastic medical tourism tour problem.…”

Section: Solution Approachmentioning

confidence: 99%

Stochastic medical tourism problem with variable residence time considering gravity function

Kolaee¹,

Al-e-hashem²

2022

RAIRO-Oper. Res.

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Medical tourism is a recent term in healthcare logistics referring to travel of patients to receive health services and spending leisure time in a destination country. This transferring of patients leads to access high-quality health services which are cheaper than the original country of patients. During this travel, passengers who are the patients from another country, have this opportunity for complimentary entertainment packages (e.g., pleasure tours) in the aftercare period. As far as we know, the term of medical tourism is rarely studied in healthcare logistics and such services are highly important for developing countries. Such facts motivate us to develop a practical optimization model for the Medical Tour Centers (MTCs) for allocation of patients to hospitals in proper time and creation of memorable aftercare time for them. In this regard, the main aim of the proposed model is to maximize the total profit of MTCs through optimal allocation of patients to hospitals while considering an aftercare tour for the passengers. To make the proposed model more realistic, the optimal residence time in attractive places is simulated by a time-dependent gravity function. To address the uncertainty of medical tourism problem, a scenario-based two-stage stochastic optimization approach is extended to encounter different sources of uncertainty existing in surgical success, medical time, restoration restrictions, and the attraction of tourist places. Another novelty of this work is to propose an innovative hybrid meta-heuristic for large-scale instances, which is a combination of Progressive Hedging Algorithm (PHA) and Genetic Algorithm (GA). The model is analyzed by different test problems for small, medium, and large-scale instances where the hybrid meta-heuristic algorithm could solve them with an average gap of 3.4% in comparison with the commercial solver. The results revealed the importance of tourist opinion and public preferences in medical and pleasure tours, respectively, to improve the economic growth in this sector in developing countries.

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A joint production-workforce-delivery stochastic planning problem for perishable items

Cited by 11 publications

References 74 publications

Combination of pricing and inventory policies for deteriorating products with sustainability considerations

Combination of pricing and inventory policies for deteriorating products with sustainability considerations

A robust optimization approach for the production-routing problem with lateral transshipment and outsourcing

Stochastic medical tourism problem with variable residence time considering gravity function

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