Internet of Things-Enabled Dynamic Performance Measurement for Real-Time Supply Chain Management - Toward Smarter Supply Chain -

학위논문 (박사)-- 서울대학교 대학원 : 공과대학 산업공학과, 2018. 2. Park, Jinwoo.Supply chain performance measurement has become one of the most important and critical management strategies in the pursuit of perfection and in strengthening the competitive edges of supply chains to face the challenges in todays global markets. To constantly cope with the resulting rapid changes and adopt new process designs while reviving supply chain initiatives and keeping them alive, an effective real-time performance-based IT system should be developed. And there are many researches on supply chain performance measurement system based on the real-time information system. This thesis proposes a standard framework of a digitalized smart real-time performance-based system. The framework represents a new type of smart real-time monitoring and controlling performance-based IT mechanism for the next-generation of supply chain management practices with dynamic and intelligent aspects concerning strategic performance targets. The idea of this mechanism has been derived from the main concepts of traditional supply chain workflow and performance measurement systemswhere the time-based flow is greatly emphasized and considered as the most critical success factor. The proposed mechanism is called Dynamic Supply Chain Performance Mapping (DSCPM), a computerized event-driven performance-based IT system that runs in real-time according to supply chain management principles that cover all supply chain aspects through a diversity of powerful practices to effectively capture violations, and enable timely decision-making to reduce wastes and maximize value. The DSCPM is proposed to contain different types of engines of which the most important one is the Performance Practices and Applications Engine (PPAE) due to its involvement with several modules to guarantee the comprehensiveness of the real-time monitoring system. Each of these modules is specified to control a specific supply chain application that is equipped with suitable real-time monitoring and controlling rules called Real-Time Performance Control Rules (RT-PCRs), which are expressed using Complex Event Processing (CEP) method. The RT-PCRs enable DSCPM to detect any interruptions or violation smartly and accordingly trigger real-time decision-making warnings or re-(actions) to control the performance and achieve a smart real-time working environment. The contributions of this dissertation are as follows: (1) building a conceptual framework to digitalize the supply chain, based on their strategic performance targets, deploying IoT technologies to convert its resources to smart-objects and therefore enable a dynamic and real-time supply chain performance measurement and management. (2) Demonstrating the feasibility of the DSCPM concerning performance targets by developing some practices and tool modules that are supplied with RT-PCRs (e.g., Real-time Demand Lead-time Analysis, Real-time Smart Decision-making Analysis (RT-SDA), Real-time Supply Chain Cost Tracking System (RT-SCCT), etc.). (3) Verifying the effectiveness of RT-PCRs in RT-SDA and RT-SCCT modules by building simulation models using AnyLogic simulation software.Chapter 1. Introduction 1 1.1 OVERVIEW 1 1.2 PROBLEM STATEMENT AND MOTIVATION 4 1.3 RESEARCH OBJECTIVES 7 1.4 THESIS OUTLINE 11 Chapter 2. Background and Literature Review 12 2.1 INTRODUCTION 12 2.2 SUPPLY CHAIN PERFORMANCE MEASUREMENT 13 2.3 PROCESS-ORIENTED SCPM AND SCOR MODEL 25 2.4 IOT AND SCM 31 Chapter 3. Performance-based IoT Deployment for Digital Supply Chain Transformation 40 3.1 INTRODUCTION 40 3.2 DIGITAL SC TRANSFORMATION FRAMEWORK 42 3.3 FRAMEWORK DEMONSTRATION USING A THEORETICAL CASE STUDY 65 3.4 CONCLUSION 71 Chapter 4. IoT-enabled Dynamic Supply Chain Performance Mapping based on Complex Event Processing 73 4.1 INTRODUCTION 73 4.2 REAL-TIME ENTERPRISE INTEGRATION 74 4.3 INTEGRATION OF DSCPM IN REAL-TIME SUPPLY CHAIN INFRASTRUCTURE 76 4.4 DYNAMIC SUPPLY CHAIN PERFORMANCE MAPPING FRAMEWORK (DSCPM) 77 4.5 CONCLUSION 107 Chapter 5. DSCPM-enabled Smart Real-time Performance Measurement Environment 109 5.1 DSCPM-ENABLED REAL-TIME TIME AND PERFORMANCE-BASED ANALYSIS FRAMEWORK 109 5.2 DSCPM-ENABLED REAL-TIME SC COSTS TRACKING SYSTEM 132 Chapter 6. Managing Perishability in Dairy Supply Chain using DSCPM Framework (a case study scenario) 152 6.1 INTRODUCTION 152 6.2 ASSUMPTIONS AND NOTATION 153 6.3 SIMULATION EXPERIMENTS 158 6.4 RESULTS AND DISCUSSION 161 6.5 A NEW APPROACH, FOR DESIGNING AND MANAGING PERISHABLE PRODUCTS INVENTORY SYSTEM 168 6.6 DECISIONS SENSITIVITY ANALYSIS 172 6.7 IOT COSTS-BENEFITS ANALYSIS 173 6.8 CONCLUSIONS 176 Chapter 7. Conclusions 179 7.1 CONCLUSION 179 7.2 FUTURE RESEARCH 182 Bibliography 184Docto

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