Template-Type: ReDIF-Article 1.0 Author-Name: Fangzhou Sun Author-X-Name-First: Fangzhou Author-X-Name-Last: Sun Author-Name: Subhash C. Sarin Author-X-Name-First: Subhash C. Author-X-Name-Last: Sarin Author-Name: Yuqiang Wang Author-X-Name-First: Yuqiang Author-X-Name-Last: Wang Author-Name: Akshat Kothyari Author-X-Name-First: Akshat Author-X-Name-Last: Kothyari Title: Integrated production and shipping scheduling for a single manufacturer and multiple customers Abstract: We investigate a supply chain scheduling problem involving a single manufacturer and multiple customers. Our aim is to integrate the production and shipping functions of a manufacturer for the objective of minimising the total cost consisting of: 1) the penalty of late deliveries computed based on the weighted number of tardy orders; 2) the shipping of orders to customers. Since this problem is NP-hard, besides an optimum-seeking algorithm, we also develop a fast heuristic both of which exploit the structural properties of the problem. The results of our computational investigation reveal the efficacy of our approaches and a significant benefit that accrues from integrating the production and distribution functions. Journal: Int. J. of Planning and Scheduling Pages: 161-193 Issue: 3 Volume: 3 Year: 2025 Keywords: scheduling; dynamic programming; branch-and-bound; combinatorial optimisation. File-URL: http://www.inderscience.com/link.php?id=149886 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijps:v:3:y:2025:i:3:p:161-193 Template-Type: ReDIF-Article 1.0 Author-Name: Ricardo Amaral Nunes Author-X-Name-First: Ricardo Amaral Author-X-Name-Last: Nunes Author-Name: Fernando Baltasar dos Santos Pedrosa Author-X-Name-First: Fernando Baltasar dos Santos Author-X-Name-Last: Pedrosa Author-Name: Daniel Castro Silva Author-X-Name-First: Daniel Castro Author-X-Name-Last: Silva Title: A web-based system for visualising engineering tasks on multi-LOD large-scale CAD models Abstract: CERN conducts daily experiments on multiple machines, requiring regular maintenance and check-ups. Planning future experiments and installations becomes challenging due to the time-consuming nature of these tasks and their potential impact on machine availability. We propose a 3D visualisation system that displays machine maintenance and installation tasks for specific dates to address co-activity issues. The system consists of two main parts: a preprocessing pipeline that converts and simplifies the machine's CAD model to glTF and a 3D visualisation tool that displays the model and provides the needed task information. By dividing the model into levels and providing granularity options, the system efficiently presents information to users. We achieved a reduction of around 80% in the number of vertices. Moreover, evaluating the tool through a controlled experiment showed positive results, such as a frequency of 30 FPS and an average frame rendering time of 40 ms. Both the loading time and the interaction latency of the models were low and not noticeable to the participants. Journal: Int. J. of Planning and Scheduling Pages: 194-211 Issue: 3 Volume: 3 Year: 2025 Keywords: 3D visualisation system; 3D model simplification; CAD conversion; task scheduling; multi-LOD 3D model visualisation. File-URL: http://www.inderscience.com/link.php?id=149887 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijps:v:3:y:2025:i:3:p:194-211 Template-Type: ReDIF-Article 1.0 Author-Name: Fangzhou Sun Author-X-Name-First: Fangzhou Author-X-Name-Last: Sun Author-Name: Subhash C. Sarin Author-X-Name-First: Subhash C. Author-X-Name-Last: Sarin Author-Name: Akshat Kothyari Author-X-Name-First: Akshat Author-X-Name-Last: Kothyari Title: Biomass feedstock logistics with mobile equipment Abstract: In this paper, we consider a biomass feedstock logistics supply chain (BFLSC) problem with explicit consideration of mobile equipment used for loading and unloading biomass at storage locations. Instead of modelling this feature directly into the formulation, we account for the transportation of equipment implicitly, resulting in a two-index formulation as compared to a three-index formulation. The Benders decomposition algorithm (BDA) that we develop for the solution of the problem further exploits this feature of our formulation. It generates solutions of the desired accuracy (optimality gap). We also propose two fast heuristic solution methods, both of which exploit the decision hierarchy of the problem. Our computational investigation reveals the efficacy of the proposed methods. Moreover, our experimental studies based on real-life cost parameters indicate that a reduction in cost can be achieved by mobilising loadout equipment in a BFLSC instead of locating it permanently at storage locations. The benefits accrued vary with system configuration, congestion level, loadout and permanent equipment costs, and building and routing costs. Journal: Int. J. of Planning and Scheduling Pages: 212-239 Issue: 3 Volume: 3 Year: 2025 Keywords: biomass feedstock logistics; mobile equipment; mixed-integer programming; Benders decomposition. File-URL: http://www.inderscience.com/link.php?id=149909 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijps:v:3:y:2025:i:3:p:212-239