... time, inventory and total costs while enhancing service levels (SLs). Design/methodology/approach This study uses a simulation-based approach to modeling two HMSC scenarios: one with 2G-RFID technology and one without. The simulations were conducted using ARENA software to evaluate each...

...-scale instances of the problem and generate policies for patient assignment. These policies are then evaluated against alternative heuristic policies using larger-scale problem instances and simulation tools. Findings Simulation results reveal that implementing an AC unit and adopting an appropriate...

... economic values for such integration within the supply chain (SC). Design/methodology/approach A two-staged embedded multiple case study with multi-method data collection and a combined discrete/continuous simulation were conducted to diagnose obstacles and recommend a potential solution. Findings...

..., by devising digital twin-based decision support systems (DSSs). Design/methodology/approach The authors create a discrete-event simulation model to investigate proactively risks and resilience of a Moroccan basic-items SC (BISC). In this study, the authors analyze the effects of catastrophe-related...

... adoption of SCF by value chain members. Originality/value Existing research predominantly focuses on dyadic relationships and is restricted to Europe and China. According to the authors, no comprehensive investigation has been conducted in India. This application of simulation techniques to improve...

... of prediction (MSEP). The impact of such reinsurance treaties on the variability of the cedent’s loss reserve has been investigated through a simulation study. Originality/value This paper, without building a recovery run-off triangle, uses the available prior knowledge about a reinsurance treaty to predict...

... The study put forth the feasibility of the HMRS system for an essential commodity in the context of a covid pandemic. The research implemented system dynamics for modelling and validation. Manufacturing Decision support systems Modelling Simulation System dynamics Remanufacturing Hybrid...

... was used to model the performance of fixed and dynamic Kanban based production systems. SD approach has enabled the feedback mechanism and is an appropriate tool to incorporate the dynamic control during the simulation. Initially, a simple Kanban based production system was developed and then compared...

... discusses the importance of the risk factors in oil and gas megaprojects in the presence of sanctions. Finally, this paper applies the proposed approach to a real case study in the field of gas projects. Hosein Didehkhani can be contacted at: dr.h.didehkhani@gmail.com Risk analysis Simulation...

... complex problem of the low development of Brazilian space industry, by theoretical perspective. Also, the authors submitted it in a simulation environment to assess in which situations it is successful considering number of problem’s RC, system complexity and number of people in the system. Findings...

...Adrian Ramirez-Nafarrate; Luis Antonio Moncayo-Martinez; Gerardo Steve Munguía-Williams Purpose This paper aims to propose an alternate, efficient and scalable modeling framework to simulate large-scale bike-sharing systems using discrete-event simulation. This study uses this model to evaluate...

... that crime could be efficiently reduced if the strategies of public security institutions were directed at hot spots (Weinborn et al., 2017). Decision support systems Modelling Decision analysis Simulation Operations research Multicriteria programming Crime Policing strategy Predictive...

... as follows: Finance Optimization Strategy Simulation The optimal capital structure is a classic issue in corporate finance and management. There have been a lot of contributions to observe the effect of the asset substitution moral hazard problem on the firm’s capital structure. However...

...Ahmed Zainul Abideen; Fazeeda Binti Mohamad; Yudi Fernando Purpose Recently, much research about the effects of simulation on an organization’s operational performance and efficiency has been carried out. But still, there is a need for lean-based simulations rather than just modelling the system...

...Eunji Lim Purpose This paper considers the complex stochastic systems such as supply chains, whose dynamics are controlled by an unknown parameter such as the arrival or service rates. The purpose of this paper is to provide a simulation-based estimator of the unknown parameter when only partially...

... and classical clustering requirements as well as social capital (SC). Finally, the performance of various temporary clusters under different demand scenarios and operational conditions are studied using numerical simulation. Findings The results examined the performance of the new clusters under various...

... firms are adopting newer methodologies. But, there is a stringent need for production simulation systems to analyze supply chains both inbound and outbound. The era of face validation is slowly disappearing. Lean tools and procedures that provide future state assumptions need advanced tools...

...Erma Suryani; Rully Agus Hendrawan; Philip Faster Eka Adipraja; Arif Wibisono; Lily Puspa Dewi Purpose This paper aims to address the urban mobility and traffic congestion problem under environmental dynamics to improve mobility and reduce traffic congestion using system dynamics (SD) simulation...

... Perishable products Decision-making Risk analysis Modelling Supply chain management Simulation Stochastic programming Today’s fiercely competitive environment has compelled firms to be more effective and efficient in the management of their supply chains. The design of a good supply chain...

... System dynamics simulation model is implemented to develop harvested area, productivity and production models. To improve productivity and production, several scenarios have been developed by modifying the model’s structures and parameters. Findings Some factors affecting productivity include soil...