Purpose: The intricate interplay between economic dynamism and social cohesion is essential for holistic advancement and enduring societal welfare. This systematic review aims to critically evaluate APP literature with a focus on social and economic aspects. Previous APP studies have primarily...

Purpose: This article examines the relevant literature to show how integration between Collaborative Manufacturing and Production Planning can be used and benefitted in the manufacturing business. This study seeks to provide a complete picture of the present condition, research trend, and...

The role of setup times in production planning and control was recognised in the late 1960s. Since then, a growing number of scheduling problems have accounted for sequence-dependent setup time variables. This study aims to provide a systematic review of setup times in the short-term production...

This study investigates the capacity of a developed production planning model to coordinate energy management within a hybrid energy system. The specific focus is on energy-intensive manufacturing firms utilizing renewable energy generation and energy storage. Unlike prior research in the field...

Background: Logistics operations are integral to manufacturing systems, particularly in the transportation processes that occur not only between facilities and stakeholders but also between warehouses and workstations within a facility. The design of functional areas and allocating goods to...

The organic food sector has been steadily gaining prominence and expanding its global market share, driving an increasing demand for advanced optimization techniques to enhance the efficiency of sustainable production systems. This paper addresses machinery routing and activity scheduling in a...

This research investigates the integrated process planning and scheduling (IPPS) problem that considers process planning and production scheduling simultaneously with the aim of minimizing makespan. To solve the IPPS problem, we propose a branch-and-price (B&P) solution strategy that decomposes...

Learning takes time and hence its effects should be considered in short-term production planning (i.e., scheduling). This is especially true when human involvement is high and the shop floor experiences changes in workflow, workforce, or technology. The Single-Machine Scheduling Problem (SMSP)...

This study develops a robust optimization framework for closed-loop supply chain (CLSC) planning that explicitly accounts for uncertainty in the quality of recycled and remanufactured inputs. While such materials are critical for sustainability, their variable quality poses risks to production...

This study contributes to the advancement of supply chain scheduling (SCS) through the development of a comprehensive mathematical framework that unifies multi-objective supplier selection, demand allocation, production scheduling, and inventory management within flexible manufacturing systems...

The real-world production inventory systems involve uncertainties surrounding demand, production, defectiveness, and costs, which pose significant challenges. Various methodologies, including interval, fuzzy, stochastic, and fuzzy-stochastic approaches, have been developed to address these...