PERANCANGAN APLIKASI REAL-TIME DYNAMIC SCHEDULING BERBASIS VENDOR UNTUK MEMBANTU PENENTUAN DUE DATE PESANAN (STUDI KASUS: DIVISI PPIC, CV FUTAKE INDONESIA, KLATEN)

Nur Khodhori Mahesa Ananta, NIM.: 22106060001 (2026) PERANCANGAN APLIKASI REAL-TIME DYNAMIC SCHEDULING BERBASIS VENDOR UNTUK MEMBANTU PENENTUAN DUE DATE PESANAN (STUDI KASUS: DIVISI PPIC, CV FUTAKE INDONESIA, KLATEN). Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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	Text (PERANCANGAN APLIKASI REAL-TIME DYNAMIC SCHEDULING BERBASIS VENDOR UNTUK MEMBANTU PENENTUAN DUE DATE PESANAN (STUDI KASUS: DIVISI PPIC, CV FUTAKE INDONESIA, KLATEN)) 22106060001_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf - Published Version Restricted to Registered users only Download (25MB) | Request a copy

Abstract

The metal casting industry that adopts a make-to-order strategy faces complex job shop scheduling challenges due to the high variation in orders, processing durations, and due dates. CV Futake Indonesia, as a manufacturing retailer of metal-derived products and street furniture, manages orders through vendor partnerships using a scheduling mechanism that still relies on the FCFS rule based on PO release dates. This approach has not been able to accommodate the dynamic nature of order arrivals with varying priority levels and due dates, resulting in 190 of 228 orders or 83% experiencing completion delays in 2025. This research aims to design a webbased Real-Time Dynamic Scheduling Application as a decision support system that assists Job Estimators in determining proportional order due dates. The application is built using HTML, CSS, and JavaScript within a single-page application architecture running on localhost, integrating four user roles: Job Estimator (Futake), Job Estimator (Vendor), Production Supervisor, and Sales. The adopted approach combines a two slot parallel vendor processing model, scenario enumeration, and a queue priority constraint as a hard constraint, with the objective function of minimizing ΔTW. Simulation results across four job datasets show that the system is able to generate new job insertion recommendations along with completion time and due date estimates that align with actual vendor conditions, while functionality testing verified that all six main menus operate according to specifications. This application is expected to become an adaptive, collaborative, and integrated scheduling decision-making instrument between Futake and its vendors.

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