This paper addresses the critical challenge of optimal allocation and scheduling Internet Things (IoT) tracking devices for patient monitoring in healthcare facilities, where limited resources must be efficiently distributed to minimize cost maximize care quality. We formulate this management problem as a specialized variant Resource-Constrained Scheduling Problem that incorporates patient-specific factors such duration stay priority. After establishing computational complexity problem, we...

Consideration about the possibility to integrate vague uncertainty notions into numerical simulation modeling tools may be a very interesting research field. In this way, it will possible exploit more efficient and robust evaluation in study of high productivity flexibi lity production systems. literature, few works investigated on cope with lack models able deal ill-defined uncertainty. particular, if is describe by statistical distribution, methods classical discrete event theory are model...

This paper introduces an application of simulation-based multi-objective optimization to solve a system configuration problem in hybrid flow shop system. The test case is provided by firm that manufactures mechanical parts for the automotive sector. We present architecture uses both discrete-event simulation and mathematical programming tools order problem. multiple-objective nature preserved throughout proposed approach, using Pareto-dominance concepts eliminate inefficient solutions within...

This study presents an optimisation model for scheduling homebound vaccination in a more efficient way to address the existing workforce management challenge. We consider home healthcare routeing challenge people be vaccinated at based on limited resources. There are different types of patients that categorised services they require and should served by appropriate teams or single medical staff, where transported rental vehicles. In this context, our goal is minimise total cost...

In this paper, we study the single-vehicle routing problem (VRP) with time windows, multi-shift, and fuzzy uncertainty. problem, one vehicle is used repeatedly to serve demand over a planning horizon of several days. The inspired by in maintenance activities, where crew uses perform jobs various locations. Crew operates shifts always returns depot before shift ends (no overtime allowed). objective consists completing all locations minimizing number used, reducing duration time. We effect...

The integration of uncertainty notions into numerical simulation modeling tools is an interesting research field to cope with the lack models able deal non-probabilistic uncertainty. goal may be reached by exploiting fuzzy sets theory which allows analyzing problems from point view. In this work, related in discrete event are analyzed. New methods presented extend simulation. proposed approach soundness demonstrated assuring possibility reproduce any possible feasible evolution a system. A...

This paper introduces an application of simulation-based multi-objective optimization to solve a system configuration problem in hybrid flow shop system. The test case is provided by firm that manufactures mechanical parts for the automotive sector. We present architecture uses both discrete-event simulation and mathematical programming tools order problem. multiple-objective nature preserved throughout proposed approach, using Pareto-dominance concepts eliminate inefficient solutions within...

Home health care professionals provide medical services to patients in their homes. With rising demand, it’s crucial manage operational costs effectively while ensuring satisfaction for patients. This study presents a bi-objective optimization model aimed at resolving routing and scheduling challenges home care, with focus on both system efficiency patient accessibility. A Mixed-Integer Linear Programming Model (MILP) is developed. To tackle computational time challenges, we propose...

The high investment related to the acquisition of Flexible Manufacturing Systems forces firms a better utilization machines. Different actions can be taken in order avoid idle times machines: reduction unproductive (time dedicated rapid movements, tool exchange, pallet etc.), improvement machines and, not last, management resources. paper proposes new policy for operations parallel machine FMS minimize due lack tools. proposed uses opportunities manufacturing technology with use network part...

In this paper, we consider linear programming problems with fuzzy objective function coefficients. case, the optimal solution set is defined as a set. A new method to find most significant solutions of problem, together their importance degrees, has been developed. The works directly on main LP problem by readapting simplex algorithm arithmetic and using proper ranking criterion. advantages, compared state-of-the-art, consist in solving original (fuzzy) rather than simplified versions,...

Nowadays achieving overall sustainability in industrial activities is the natural consequence of diminishing non-renewable resources and stricter regulations related to environment occupational safety/health.In sector, CO 2 emissions derive both from direct indirect emissions. The second type due use electricity currently represents more than thirty percent global amount. For this reason energy consumption reduction critical aspect several environments. Power possible by modifying...

Lean Production approach provides a framework to limit source of variability and improve performance production systems. If units characterized by low-volume part combining are considered, lean has be tuned in order provide the correct limitation work-in-progress suitable sequencing parts. In such case, discrete event simulation study is necessary illustrate control-element operations indicate applicability elements. A case field earth-moving machine considered. proved that implementation...

Nowadays, the frequency of decisions related to configuration and capacity evaluation manufacturing production systems is increasing in more industrial sectors, especially automotive field. This due a variety factors, such as reduction life cycle product, competition, etc. In context, decision makers have take their actions shorter times than they ever did past: an example, typically need quick about different system alternatives. specific problem has increased complexity because necessity...

Lean Production approach provides a framework to limit source of variability and improve performance production systems. If units characterized by low-volume part combining are considered, lean has be tuned in order provide the correct limitation work-in-progress suitable sequencing parts. In such case, discrete event simulation study is necessary illustrate control-element operations indicate applicability elements. A case field earth-moving machine considered. proved that implementation...

We aim to minimize of Total Idle Time for Tool Change (TITTC) in machines equipped with rotating tool magazines and un-buffered chain. The subject this work consists the optimization TITTC that is sum setup time change time. problem determining optimal configuration each part type considering transition between current next one. propose a Genetic Algorithm solve problem. A numerical real test study performed order investigate proposed different frameworks evaluate approach advantages. First,...

Background: This work studies the single vehicle routing problem (VRP) with multishift and fuzzy uncertainty. In this case, a company perpetually exploits to accomplish demand over scheduling period of several shifts. our problem, crew performs maintenance jobs at different locations. The working team operates in shifts maximum duration but recurrently returns depot by end shift avoid overtime. Methods: objective is minimize number completion time (makespan). addition, we analyze influence...