International Journal of Industrial Engineering: Theory, Applications and Practice
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Pickup Hub Location Problem with Prospective Customers in Rural Area: A Case Study
Get PDFThis paper addresses the pickup hub location problem in rural areas, considering dynamic changes in prospective customers and optimizing equity. The problem involves selecting optimal pickup hub locations from candidate hubs while minimizing transportation costs, measured as the distance between a set of determined customers and pickup hubs. A nonlinear fractional integer programming model is developed to formulate the problem. A scenario-based Dinkelbach’s algorithm combined with a mathematical reformulation approach is proposed to solve the problem efficiently. The effectiveness of the proposed method is demonstrated through a case study on the location selection of smart cigarette delivery lockers. The results highlight the method’s ability to balance equity, offering a practical solution for logistics planning in rural areas. The key contributions of this study are: (1) a novel pickup hub location model that accounts for dynamic customer changes and (2) validation of the approach through a real-world case study, showcasing its applicability and effectiveness
Evolutionary Game Analysis of Quality and Safety Regulatory Mechanism In Agricultural E-Commerce Supply Chain Considering Government Subsidy
Get PDFThe quality and safety of agricultural products on e-commerce platforms are increasingly of increasing concern in China. This study constructs a three-party evolutionary game model to analyze the production decisions of producers and the regulatory decisions of e-commerce platforms. It explores the influence of online social supervision and the government's subsidy policy. The results show that social supervision helps to externally discourage producers from colluding with e-commerce platforms to produce 'fake' green agricultural products. On this basis, a reasonable subsidy policy in addition to the existing punitive measures can internally motivate producers and e-commerce platforms to consciously produce and sell green agricultural products in a compliant manner, thus realizing a win-win situation and a collaborative environment for all three parties. Moreover, the government should construct a long-term subsidy mechanism for e-commerce platforms and a short-term subsidy mechanism for producers, so as to guarantee the sustainable development of the green agricultural e-commerce supply chain
Low-Carbon Operation Decision of Green Packaging Supply Chain Considering Production and Marketing Cooperation
No full textGiven the cooperative nature of the production and marketing segments of the supply chain, this paper investigates the manufacturer’s low-carbon traceable production and the distributor’s low-carbon marketing strategies in a manufacturer-led secondary supply chain under a carbon cap-and-trade policy. The paper proposes the pass-contract model to enhance the cooperative nature of supply chain actors and constructs four Stackelberg game models. The study shows that both low-carbon marketing strategies by distributors and the introduction of traceability technologies by manufacturers can increase the profits of supply chain actors; the sensitivity coefficient of traceability and the sensitivity coefficient of marketing efforts at the brand end positively correlate with the profits of manufacturers and distributors. Under the cost-sharing model, when the share ratio is within a reasonable range, it not only leads to the highest level of carbon emission reductions (CER) in the supply chain but also maximizes supply chain profits. Adopting green packaging strategies, such as cost-sharing contracts, production and sales balancing, traceability technology, and low-carbon marketing, is essential for supply chain members to achieve sustainable development and environmental benefits
Channel Coordination of Dual-Channel Supply Chain with C2M Manufacturer Introducing The Private Label
No full textThe thriving development of E-commerce platforms has injected new vitality into the C2M (Customer-to-Manufacturer) business model. However, it has also introduced a new challenger-the private label retailer. Given the escalating influence of private label retailers, the strategic introduction and coordination of the supply chain by C2M manufacturers have emerged as pivotal challenges. We analyze a C2M manufacturer's pricing strategies in three dual-channel supply chain models: centralization, decentralization, and partial centralization. In these models, the C2M manufacturer acts as a Stackelberg leader, while the private label retailer and platform act as followers. Analysis of both symmetric and asymmetric channel scenarios demonstrates that C2M manufacturers favor centralizing the supply chain. Consequently, we explore coordination strategies for Dual-channel supply chains and determine that the C2M manufacturer's contract, which incorporates wholesale and direct channel pricing, effectively coordinates the dual-channel supply, benefiting the retailer and platform but not the C2M manufacturer. We illustrate how such a contract, coupled with a complementary agreement like a two-part tariff or profit-sharing, can effectively coordinate the dual-channel supply chain, creating a win-win-win situation for the C2M manufacturer, private label retailer, and platform
Conflict-Free Path Planning for Autonomous Transport Vehicles
Get PDFAutonomous Transport Vehicles (ATVs) are flexible robotic systems for transportation tasks in intra-logistics. It is very important to determine the most cost-efficient routes for ATVs within factory environments. Conflicts occur if more than one ATV moves at the same point in the same time interval. Conflicts cause unwanted delays, and it is crucial to determine the conflict-free routes for ATVs on the shop floor. Efficiently planning conflict-free paths for multiple AGVs and minimizing overall task completion time are essential for assessing system performance. In the study, a NonConflict-A* (NC-A*) algorithm that is based on the A* algorithm has been proposed to solve conflict problems in multiple ATVs. Unlike studies in the literature, the proposed algorithm performs pathfinding, conflict detection, and conflict resolution simultaneously. The NC-A* algorithm detects the conflicts while obtaining the paths, chooses the conflict resolution strategy that is the least costly according to the conflict types and produces the most cost-efficient route. The proposed algorithm aims to minimize the total route duration time while ensuring system safety by detecting and resolving all potential conflicts. The algorithm is tested for different conflict types of multiple ATVs traveling at various speeds. The solutions of the algorithm show that the algorithm determines all of the conflicts, selects the appropriate solution strategy and generates conflict-free routes
New Approach For Failure Mode and Effect Analysis Based on Interval-Valued Intuitionistic Fuzzy Cloud Theory and Social Network Consensus Analysis
Get PDFFailure mode and effect analysis (FMEA) is a proactive risk assessment methodology extensively used across industries to enhance the safety and reliability of systems, products, and services. Classical FMEA predominantly relies on experts' subjective judgments, which inherently involve multiple types of uncertainty, including vagueness, hesitation, and randomness. However, existing FMEA studies seldom consider these types of uncertainty simultaneously. Moreover, experts' heterogeneous backgrounds and experiences can lead to divergent and inconsistent risk assessments. Few FMEA studies have investigated consensus-reaching mechanisms to address such an issue. Therefore, this paper presents a new FMEA framework integrating interval-valued intuitionistic fuzzy cloud (IVIFC) theory with social network consensus analysis to further enhance the performance of risk assessments. First, the IVIFC is adopted to describe experts' linguistic assessments. It blends the strength of interval-valued intuitionistic fuzzy sets in manipulating vagueness and hesitation with the advantage of the cloud model in reflecting the randomness of assessment information. Then, a social network consensus analysis model with maximum expert consensus is introduced to assist FMEA experts in reaching an agreement. Additionally, a hybrid method combining techniques for ordering preferences for similarity to ideal solutions and grey relational analysis is developed to derive the risk order of failure modes. Eventually, an empirical case in the robot-aided rehabilitation setting is presented to illustrate the developed FMEA model, with its effectiveness further substantiated through simulation and comparative analysis. The results show that the proposed model resolves major deficiencies of classical FMEA and offers a reliable solution for practical FMEA applications
Reverse Logistics Path Optimization Based on Hybrid Dung Beetle Optimization Algorithm
Get PDFReverse logistics optimization in urban environments faces significant challenges due to dispersed collection points and complex obstacle distributions, resulting in inefficient routing and high operational costs. To address these limitations, this study develops a novel hybrid optimization algorithm that strategically integrates Dung Beetle Optimization (DBO) with Simulated Annealing (SA) for multi-collector path planning. The hybrid approach enhances DBO's search capabilities by incorporating SA's probabilistic acceptance mechanism, effectively preventing premature convergence to suboptimal solutions. Using a two-dimensional grid model to represent urban collection environments, experimental validation demonstrates substantial performance improvements: the hybrid algorithm achieves 14.39% shorter paths than standalone DBO and 5.23% improvement over SA alone, while exhibiting faster convergence across diverse network configurations. These results confirm the method's effectiveness for sustainable reverse logistics operations in complex urban scenarios
Evolutionary Game Analysis of Construction Risk Management of Subcontracting Project under EPC Mode
No full textThis paper develops a two-party evolutionary game model between the general contractor and the construction subcontractor under the Engineering-Procurement-Construction (EPC) mode to determine the positivity of strict management by the general contractor as well as high standards of production by the subcontractor under different social and production conditions. The results show that whether the game system converges to the ideal Evolutionary Stable Strategy (ESS) depends on both parties’ benefits in the project, reputation value in the industry, additional losses incurred by defaults, and supervision costs. In the process of EPC project construction risk management, each game party should clarify contractual responsibilities, set specific penalties, build an information disclosure platform, evaluate performance regularly, and establish a reward system based on quality to promote the sustainable and healthy development of the EPC project mode
Design and Implementation of Lean Six Sigma in The Garment Industry
No full textLean Six Sigma (LSS) is widely adopted in manufacturing industries to optimize production efficiency and minimize defects. However, its application in the garment industry, particularly in sewing line balancing, remains underexplored. The study integrates LSS methodologies with the Ranked Positional Weight (RPW) method to enhance line balancing efficiency in a sewing line. The Define, Measure, Analyze, Improve, and Control (DMAIC) framework was applied to identify the root causes of defects, optimize workstation balancing, and evaluate process improvements. Data was gathered from a single sewing line to evaluate the existing sigma level and identify critical inefficiencies. Statistical tools such as Process Capability Indices (Cp, Cpk) and short-term vs. long-term sigma level analysis were used to assess process variations. The findings indicate that implementing RPW resulted in a reduction of workstations from 27 to 22, an increase in line balancing efficiency from 53% to 70.3%, and a decrease in the defect rate from 8.34% to 4.6%. The process sigma level improved from 2.9 to 3.19, demonstrating a significant enhancement in quality performance. This research demonstrates practical value by integrating Lean Six Sigma (LSS) with the Ranked Positional Weight (RPW) method for line balancing in the garment industry. It offers valuable insights into critical challenges, identifies root causes, and presents a scalable approach for defect reduction in textile manufacturing
Global Path Planning Method for AGV of Warehousing Logistics Based on Improved Ant Colony Algorithm
No full textAGV for warehousing and logistics is an automatic guided vehicle that is used for cargo handling, storage, sorting and other operations in warehousing and logistics scenarios. Due to the complex warehousing logistics scenarios, AGV needs to deal with the complex environment and variable task requirements in warehousing logistics during operation, resulting in low efficiency of path planning. Therefore, a global path planning method for AGV of warehousing logistics based on an improved ant colony algorithm is studied. After analyzing the overall transportation path of warehousing logistics, according to the optimization algorithm of ants' foraging behavior in nature, the pheromone transmission mechanism and behavior rules are simulated, and relevant factors such as path length transportation efficiency. Obstacle avoidance and load balance are considered to adjust the parameters such as pheromone volatilization factor and heuristic information weighting so that the improved ant colony algorithm can better adapt to changes in the warehousing logistics environment and improve the accuracy and reliability of AGV path planning. Through experimental verification, the effectiveness and superiority of the method are proved, the AGV transportation efficiency is improved, and the algorithm has excellent stability and adaptability