Search

The maritime inventory routing problem (MIRP) has gained attention in several aspects during the last decades. The problem has numerous variations, typically instigated from real-world complications. This paper addresses MIRP to meet demand in different ports within the defined planning horizon. A mixed integer nonlinear programming model is developed with respect to different planning and routing constraints, loading/unloading restrictions, wave and wind forces limitations, tide constraints, and ship capacity constraints. To study the effects of wave angle, wind force, and tide, the top ten important ports in Iran and nearby ports have been considered as a sample. Optimization of the ship route is also done with respect to the weather conditions and tide. The results indicate that wind force and wave angle do not affect the routing and only change the ship speed and costs. The tide influences the route of vessels and also increases costs.

Abstract:The production routing problem seeks to simultaneously optimize production, routing, and inventory decisions for the plant and the suppliers. In this article an integrated multi-objective sustainable pricing-production-workforce-routing problem is presented for perishable products. Total profit, workforce planning, and vehicle fuel consumption are considered as objective functions due to the importance of operational performance, social, and environmental concerns. The application of the proposed approach is investigated using real case data from a dairy product supply chain. Furthermore, a new solution approach, called Fuzzy Domination Self-Learning Non-Dominated Sorting Algorithm (FDSL-NSGA-II), is developed to solve the problem. The results show that the Pareto solutions of FDSLNSGA-II outperform those of the classic NSGA-II. Moreover, the findings show that the proposed model can create a surpassing tradeoff between the various aspects of a supply chain, including production, distribution, and workforce planning. In addition, it concurrently optimizes the selling price and protects the environment from the negative impacts of greenhouse gas emissions (GHGs). A comprehensive analysis of the results reveals several managerial insights for decision makers in the logistics industry.

The production routing problem seeks to simultaneously optimize production, routing, and inventory decisions for the plant and the suppliers. In this article an integrated multi-objective sustainable pricing-production-workforce-routing problem is presented for perishable products. Total profit, workforce planning, and vehicle fuel consumption are considered as objective functions due to the importance of operational performance, social, and environmental concerns. The application of the proposed approach is investigated using real case data from a dairy product supply chain. Furthermore, a new solution approach, called Fuzzy Domination Self-Learning Non-Dominated Sorting Algorithm (FDSL-NSGA-II), is developed to solve the problem. The results show that the Pareto solutions of FDSL-NSGA-II outperform those of the classic NSGA-II. Moreover, the findings show that the proposed model can create a surpassing tradeoff between the various aspects of a supply chain, including production, distribution, and workforce planning. In addition, it concurrently optimizes the selling price and protects the environment from the negative impacts of greenhouse gas emissions (GHGs). A comprehensive analysis of the results reveals several managerial insights for decision makers in the logistics industry.

Background/Aims:Substance abuse is a global health problem with harmful consequences for the individual, family and society. This study explored the personal factors contributing to substance abuse from the perspective of Jordanian clients and its implications for occupational therapy.Methods:An exploratory qualitative study was conducted using a questionnaire with nine open-ended questions to explore participants' experience of their illness and recovery. Inductive content analysis was used to analyse data.Results:Participants were 146 Jordanian substance abuse clients (142 male) with a mean age of 28 years. Five main themes emerged: fears; personal traits; helpers; speaking out; the best solution.Conclusions:Occupational therapists might design client-centred interventions for substance abuse where they consider the perspectives of clients with regard to the personal traits that contribute to their recovery. Occupational therapy services that take an interdisciplinary team approach are recommended for clients diagnosed with substance abuse.

•Diagnostic and treatment algorithms need revision and updating.•MS diagnosis incorporates clinical and paraclinical findings.•The differential diagnostic workup should be guided by clinical and laboratory red flags.•Appropriate selection of MS therapies is critical to maximize patient benefit.•These guidelines provide practical recommendations based on current scientific evidence.