چکیده مقاله
Operational resilience in politically and economically constrained environments requires a paradigm shift from reactive contingency planning to proactive, intelligence driven supply chain design Grounded in Socio Technical Systems STS theory, this longitudinal action research study investigates the design and implementation of a bespoke Advanced Planning and Scheduling APS system within two flagship Iranian advanced industries: automotive Iran Khodro IKCO and aerospace Iran Aerospace Industries Organization IAIO The implemented framework integrates a dynamic, multi attribute Risk Weighted Supplier Database RWSDB —formalized through a Multi Criteria Decision Analysis MCDA model—with a finite capacity scheduling engine This creates a co adaptive system where social organizational learning, incentive structures and technical algorithms, data architecture elements evolve synergistically Over a ۲۴ month implementation period, we employed a mixed methods approach Results indicate statistically significant improvements: a ۲۸% reduction in raw material inventory p < ۰ ۰۱ , a ۳۱% increase in supplier on time delivery, and a ۱۷% rise in Overall Equipment Effectiveness OEE A detailed case study on microcontroller unit MCU sourcing demonstrates how the RWSDB quantifies risk to guide decisions, showing that the lowest priced supplier can exhibit a ۱۰۲۸% higher risk adjusted total cost than a more reliable alternative The study concludes that technological success is contingent upon parallel changes in performance metrics, skills, and culture, providing a replicable model for industrial resilience in similarly constrained economies
کلیدواژهها
نویسندگان
شیوه ارجاع
Sharifi، Sadegh،1405،Building Resilient Supply Chains in Constrained Environments: A Socio-Technical Systems Approach to APS Implementation in Iranian Advanced Industries،یازدهمین کنفرانس بین المللی مدیریت و صنعت،تهران
ارائهشده در
مجموعه مقالات یازدهمین کنفرانس بین المللی مدیریت و صنعت25 اسفند 1404 · تهران