Volume 37, Issue 4 (IJIEPR- In Progress 2026)                   IJIEPR 2026, 37(4): 42-64 | Back to browse issues page

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Astuti M D, Sukoyo S, Cakravastia A, Halim A H. Integrated Model for Pickup, Production, and Batch Delivery for a Single Item with Multiple Due Dates to Minimize Total Relevant Cost. , IJIEPR. 2026; 37 (4) :42-64
URL: http://ijiepr.iust.ac.ir/article-1-2833-en.html
Integrated Model for Pickup, Production, and Batch Delivery for a Single Item with Multiple Due Dates to Minimize Total Relevant Cost
Murni Dwi Astuti1 , Sukoyo Sukoyo *2 , Andi Cakravastia1 , Abdul Hakim Halim1
1- Faculty of Industrial Technology, Institut Teknologi Bandung, Jl. Ganesha No. 10, Bandung 40132, Indonesia
2- Faculty of Industrial Technology, Institut Teknologi Bandung, Jl. Ganesha No. 10, Bandung 40132, Indonesia , sukoyo@itb.ac.id
Abstract:   (143 Views)
This study integrates pickup, production, and batch delivery activities within a make-to-order production system. It distinguishes between holding costs for parts, work-in-process, and finished goods borne by either the manufacturer or the customer to meet the demands of a single customer with varying due dates. The problem is formulated as a Mixed-Integer Nonlinear Programming model that simultaneously determines the number of batches, batch sizes, and schedules for all three activities; a backward scheduling approach is employed to minimize total relevant costs based on the Actual Flow Time (AFT) metric. Decisions regarding batch quantity, size, and production scheduling both influence and are influenced by decisions concerning delivery and pickup activities. Due to the complexity of the model and the inclusion of continuous, binary, and integer decision variables, an analytical solution is not feasible; consequently, an exact method using the Gurobi solver was applied. With a computation time limit of 10.800 seconds, Gurobi failed to find an optimal solution, identifying only the best feasible solution for the five tested datasets; therefore, a Genetic Algorithm (GA) was developed. The proposed GA is capable of solving the problem and generating solutions that approximate the best feasible solutions found by the exact method, while requiring significantly less computation time.

 
Keywords: Pickup, Production, Delivery, Actual Flow Time, Backward Scheduling
Full-Text [PDF 1357 kb]   (69 Downloads)    
Type of Study: Research | Subject: Production Planning & Control
Received: 2026/07/20 | Accepted: 2026/10/4 | Published: 2026/12/27
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