Multi-objective hub-spoke network design of perishable tourism products using combination machine learning and meta-heuristic algorithms

Nowadays, the major and substantial challenge and constraint of organizations, specifically in developing countries, are not the lack of raw materials, energy, or even technology but cases that are directly or indirectly associated with human resource management. The most significant problems that organizations face include dissatisfaction, lack of motivation, inefficiency of human resources, high amount of job turnovers, and low productivity. Today’s organizations and institutions should realize true perfection and health create the conditions for survival, order, excellence, and growth. In this research, considering the high importance of these issues, the problems of scheduling and allocation of manpower in a real place are solved. To this end, the metaheuristic Tabu search algorithm is used with the aim of minimizing the duration of activity and the presence of all manpower. For this purpose, to achieve the objectives of the research, three different scenarios related to the required manpower and the minimum-maximum presence of manpower according to whether they are on leave or not are used.

Section: Literature Reviewmentioning

confidence: 99%

Designing a Multiobjective Human Resource Scheduling Model Using the Tabu Search Algorithm

olya

Shayannia

Movahedi

2022

“…is issue was assessed first by Hulme [8] in 1963. In recent years, the importance of supplies in supply chain management has cleared for most real cases [9]. In order to facilitate the process of developing a supply chain, it is necessary to deal with the uncertainty in the raw material supply [7].…”

Section: Related Workmentioning

confidence: 99%

“…Waste minimization and cost saving have attracted increasing interest from researchers and operations and supply chain management. Green supply chain management has emerged as an important new model for companies to achieve profit goals and market share by reducing their environmental impacts and risks along with increasing their ecological efficiency [6][7][8][9].…”

Section: Related Workmentioning

confidence: 99%

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A Fuzzy Multi‐Objective Mathematical Model for Supplier Evaluation in a Reliable Supply Chain considering Different Risk Levels

Tian¹,

Bahrami

Kaveh

2022

One of the advantages of sustainable competition for manufacturing systems is to make supply chain activities more efficient and effective. One of the major parts of these activities that can save a lot of costs is careful outsourcing. In this study, an approach based on decision-making policies in order to select suppliers and allocate order volume to them is introduced. The main contribution of this research is a comprehensive approach for optimizing both supplier evaluation and order allocation. In this regard, first, based on the evaluation, 39 key indicators were identified to evaluate the suppliers, and based on the content analysis, 25 key indicators were screened based on the Lavache method. Next, based on the fuzzy Delphi method, 11 indicators were selected from among the 25 key effective indicators. Finally, the Best-Worst Method (BWM) and a robust multi-objective formulation are proposed to find the weight of the effective criteria and the optimal order allocation to suppliers, respectively. Moreover, it is proved that the company under study faces a variety of suppliers and there is a need to analyze key indicators such as exchange rate changes and ease of communication. Based on the BWM results, it was shown that the exchange rate change trend with a weight of 0.24 is in the first place, and the quality system support index with a weight of 0.12 is in the second place. Moreover, based on the results of the proposed robust multi-objective mathematical model, it was revealed that in order to maintain the resilience of suppliers, the total demand should be distributed among all suppliers and the second supplier with a volume of 3600 units of raw materials has the largest share in delivering the required demand.

“…So far, more than 1.6 million people have lost their lives, a signi cant number of whom are health workers [6]. Due to the COVID-19 epidemic, much pressure was put on health workers, the rst of which was high work pressure and psychological factors [7,8]. e second was employees' pressure to get the virus due to a lack of personal protective equipment (PPE).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Performance of Emergency Centers during Coronavirus Epidemic Using Multi‐Criteria Decision‐Making Methods (Case Study: Sari City)

Hosseini

Choukolaei

Ghasemi

et al. 2022

In this study, due to the importance of emergency centers and patient transport vehicles in epidemic conditions, the performance of emergency centers has been evaluated based on health protocols. The criteria were first divided into preventive and operational sections by collecting opinions, health experts, standard criteria, and the Delphi method. Preventive criteria for evaluating emergency centers and operating criteria for assessing vehicles in these centers are considered. The weighting of the determined criteria was done by the triangular fuzzy aggregation method. According to the standard criteria, the emergency centers have been evaluated for a 30-day period. The results have been assessed as a qualitative and quantitative matrix using the PROMETHEE method. The results showed better performance of Center A (63%) due to proper performance and better compliance with protocols in both criteria (preventive and operational). The reason for the superiority of this center over Center B can be considered the better performance of this center in terms of prevention indicators and better performance of the center’s vehicles (Ambulance A-1 and Ambulance A-2) in the performance index by observing the standards.