A linguistic multi-objective mixed integer programming model for multi-echelon supply chain network at bio-refinery

Hendalianpour, Ayad; Razmi, Jafar; Fakhrabadi, Mahnaz; Kokkinos, Konstantinos; Papageorgiou, Elpiniki I.

doi:10.1504/emjm.2018.096453

Cited by 11 publications

(5 citation statements)

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“…It has become widely popular and can been applied to various supply chain planning and optimization problems in uncertain conditions. In this paper, we adopt the same robust optimization approach and measure as the one used in several other relevant studies that are similar in nature (e.g., Pishvaee et al [39], Rabbani et al [40], Wee et al [41]; Hendalianpour et al [42,43], Wu [44,45]). According to Pishvaee et al [39], such an approach is capable of controlling the degree of feasibility and optimality robustness and also establishing a reasonable tradeoff between the robustness, cost of robustness, and other objectives such as improving the average performance of the system.…”

Section: Robust Optimization Modelmentioning

confidence: 99%

A solution algorithm for integrated production-inventory-routing of perishable goods with transshipment and uncertain demand

Лю

Hendalianpour²,

Razmi

et al. 2021

Complex Intell. Syst.

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Supply and distribution management of blood products is a challenging task due to their short lifespan. The problem is even more sophisticated considering uncertain demand for these products. This paper addresses integrated inventory-routing of blood in a supply chain network consisting of a single supplier and a group of blood centers. Transshipment among blood centers is allowed to decrease the cost of excess inventory and shortage of goods. A mathematical model is developed that decides on the optimal quantity of supplied blood, delivery plan, inventory level, and quantity of products transshipped between blood centers with the objective of minimizing total costs. In addition, a robust optimization approach is adopted to deal with uncertainty in demand. Since the proposed model is NP-hard, a heuristic solution algorithm is developed that improves solution quality by determining the most efficient change in vehicle routes in each search stage. The efficiency of the proposed algorithm is examined in a set of numerical experiments and using data from a real case of supply and distribution management of blood platelets. The results indicated that allowing transshipment reduces the need for supply capacity at the supplier, product shortage, inventory level, and the total cost.

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Section: Robust Optimization Modelmentioning

confidence: 99%

A solution algorithm for integrated production-inventory-routing of perishable goods with transshipment and uncertain demand

Лю

Hendalianpour²,

Razmi

et al. 2021

Complex Intell. Syst.

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“…Control incineration of HCW residues via thermal treatment and improve volatilization to minimize the effects from the residue disposal in HCW treatment [43][44][45][46].…”

Section: Water and Residue Disposal And Emission Controlmentioning

confidence: 99%

Sustainable Medical Waste Management Using an Intuitionistic Fuzzy-Based Decision Support System

Kokkinos,

Lakioti,

Moustakas

et al. 2023

Sustainability

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The growing urban population and increased use of healthcare services have brought significant attention to the safe and sustainable management of medical waste. Selecting the proper technology in medical waste management (MWM) represents one of the most critical challenges for decision-makers to ensure public health. In order to evaluate and choose the best MWM methodology, the current research provides a novel multi-criteria decision-making (MCDM) strategy for a variety of social stakeholders, to compute criteria weights, decision-making weights, and alternative ranking algorithms. The suggested structure addresses uncertain assessments of alternatives by extending weighting and ranking methods to acquire the decision-making weight and rank the MWM alternatives based on uncertain conditions. It also uses ‘intuitionistic fuzzy’ linguistic variables to indicate criteria weights. To assess all the factors pertaining to the sustainability of MWM actions, this study suggests the creation of a decision support system (DSS). Our DSS is built upon a novel strategy that utilizes a collection of MCDM models that are grounded on contemporary intuitionistic fuzzy logic methodologies. Alternative scenarios have been assessed for the instance of Greece, after specialists in the healthcare management field imposed 17 criteria and sub-criteria. The IF-MCDM methodologies used were the Intuitionistic Fuzzy DEMATEL, TOPSIS, and CORPAS. The alternative scenarios ranged from the prioritizing of safety laws and regulations to public acceptance and awareness, with the handling of hazardous risks and transportation playing a crucial part in the process. All ensemble methods produced the same ranking of the alternatives, demonstrating that safety and risk avoidance is the most significant scenario for sustainable urban development and public health.

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“…These include reduced customer satisfaction, lack of self-confidence, pessimism, high inflation, and long lead time [ 20 ]. Hence, a Supply Chain Network (SCN) must be designed and planned to maintain agility against any disruption [ 21 – 23 ]. Moreover, due to the pharmaceutical industry’s macroeconomics role, variables such as employment, economic growth, and non-oil exports are considered crucial [ 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

System dynamics model for an agile pharmaceutical supply chain during COVID‑19 pandemic in Iran

Hamzehlou

2024

PLoS ONE

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Unpredictable changes in the current business environment have made organizations pay attention to the concept of agility. This concept is a key feature to survive and compete in turbulent markets while considering customers’ fluctuating needs. An organization’s agility is a function of its supply chain’s agility. The present study offers a System Dynamics (SD) model for Iran’s Pharmaceutical Supply Chain (PSC). The model is presented in three steps. First, the Supply Chain (SC) indicators were extracted based on theoretical foundations and literature review results. Second, an SD model of the PSC was extracted in the context of the COVID‑19 pandemic with the necessary analyses. Finally, the desired outputs and strategies were obtained by conducting a case study. The results indicated that the PSC’s highest agility could be guaranteed by the simultaneous implementation of three strategies: investment, Human Capital Development (HCD), and accelerated completion of ongoing projects on a priority basis. According to these results, the organization had better determine the amount of capital and workforce required for ongoing projects, then design funding solutions to implement these projects and implement them according to the projects’ priority.

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A linguistic multi-objective mixed integer programming model for multi-echelon supply chain network at bio-refinery

Cited by 11 publications

References 0 publications

A solution algorithm for integrated production-inventory-routing of perishable goods with transshipment and uncertain demand

A solution algorithm for integrated production-inventory-routing of perishable goods with transshipment and uncertain demand

Sustainable Medical Waste Management Using an Intuitionistic Fuzzy-Based Decision Support System

System dynamics model for an agile pharmaceutical supply chain during COVID‑19 pandemic in Iran

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