Efficiently determining an optimal fleet composition for consolidated shipments is a complex challenge in logistics, especially when aiming to balance cost and environmental impacts. This paper addresses the truck selection problem under shipment policy (TSP-CSP) by developing mixed-integer linear programming model identify mix size. To solve this NP-hard efficiently, Dynamic Programming (DP) approach that exploits structural properties of initially proposed, followed more efficient Genetic...

In an era where artificial intelligence (AI) is reshaping educational paradigms, this study explores AI-based chatbot adoption in higher education among students and educators. Employing a Structural Equation Modeling (SEM) approach, the research focuses on developing validating comprehensive model to understand multifaceted factors impacting acceptance use of these chatbots. The methodology integrates extensive literature review, construction theoretical model, administration detailed...

Abstract The availability of digital infrastructures and the fast-paced development accompanying revolutionary technologies have triggered an unprecedented reliance on Artificial intelligence (AI) techniques both in theory practice. Within AI domain, Machine Learning (ML) stand out as essential facilitator largely enabling machines to possess human-like cognitive decision making capabilities. This paper provides a focused review literature addressing applications emerging ML tools solve...

In a cross-dock, goods are unloaded from incoming trucks, consolidated according to their destinations, and then, loaded into outgoing trucks with little or no storage in between. this paper, we study the cross-dock door assignment problem which of strip doors, stack doors is determined, objective minimising total material handling cost. We present new mixed integer programming formulation embedded Lagrangean relaxation that exploits special structure obtain bounds on optimal solution value....

In alignment with the ever-growing interest in adopting sustainable practices, this paper devises a cold supply chain (CSC) planning model that integrates three pillars of sustainability into decision-making process while accounting for shift towards clean energy sources. Interrelated decisions pertaining to production-distribution strategy, backorder and inventory levels, choice truck type, selection third-party logistics (3PLs) providers are jointly optimized. For global CSCs specific,...

Purpose Deploying an effective maintenance strategy across organization stands out as essential risk mitigation measure that plays a critical role toward improving the reliability and availability of production facilities. The purpose this paper is to propose simple, yet well-structured approach prioritizing actions part centered (RCM) implementation plan, selecting most important subset those subject time budget constraints. Design/methodology/approach A comprehensive RCM prioritization...

Purpose This paper proposes an integrated approach that seeks to jointly optimize project scheduling and material lot sizing decisions for time-constrained problems. Design/methodology/approach A mixed integer linear programming model is devised, which utilizes the splitting of noncritical activities as a mean toward leveling renewable resources. The developed minimizes resources costs along with consumable related costs, it solved using IBM ILOG CPLEX optimization package. hybrid...

The full integration of sustainability considerations into maintenance practices requires a close monitoring impact through appropriate key performance indicators (KPIs) that take account various aspects. However, there is lack comprehensive framework KPIs covering all the dimensions, and few attempts to address this need are specific certain industries validation by experts in field. Therefore, aim research develop validate multidimensional for assessment impacts on triple-bottom-line. To...

Advances in information technology and sensors, efficient connectivity, ground-breaking computational ability are proving to be game-changer for improving maintenance strategies production outcomes. The integration of conventional concepts with disruptive technological developments leads significant changes current practices a response the digitalized context requirements. However, despite availability its relative affordability, many digital transformation (MDT) initiatives fail accomplish...

This paper focuses on the coordination issues in context of a CLSC system comprising manufacturer and retailer. We develop mathematical models under buyback contract forward supply chain (FSC) with without Stackelberg gaming. Compared to case no contracts, numerical analysis carried out shows that proposed consistently provide better total SC profit, enhance manufacturer’s profit and, many cases, improve both players’ profits. For model gaming, we derive values for price coordinate further...