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Ying Zhang
Department of Industrial and Systems Engineering, The State University of New York at Buffalo, Buffalo, NY, USA

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Articles
Published: 14 November 2019 in International Journal of Production Research
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Commercial product returns represent a growing financial and operational concern for many firms, and they consist of true and false failure returns in the real-world business. This paper studies a joint location-inventory problem in a closed-loop system by considering multi-commodity flows and commercial product returns. First, this problem is formulated as a mixed-integer nonlinear programming model. Next, a novel heuristic method based on differential evolution is designed to solve this model efficiently. Finally, numerical experiments and results are presented to validate the solution approach and provide meaningful managerial insights for business managers to improve their supply chain practice in a closed-loop system with false failure returns.

ACS Style

Hao Guo; Ying Zhang; Chunnan Zhang; Zixin Han. A multi-commodity location-inventory problem in a closed-loop supply chain with commercial product returns. International Journal of Production Research 2019, 58, 6899 -6916.

AMA Style

Hao Guo, Ying Zhang, Chunnan Zhang, Zixin Han. A multi-commodity location-inventory problem in a closed-loop supply chain with commercial product returns. International Journal of Production Research. 2019; 58 (22):6899-6916.

Chicago/Turabian Style

Hao Guo; Ying Zhang; Chunnan Zhang; Zixin Han. 2019. "A multi-commodity location-inventory problem in a closed-loop supply chain with commercial product returns." International Journal of Production Research 58, no. 22: 6899-6916.

Research article
Published: 24 October 2018 in Complexity
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Customer returns are a common phenomenon in many industries, and they have a significant impact on business organizations and their supply chains. False failure returns are returned products that have no functional or cosmetic defects, and they represent a large body of customer returns in practice. In this paper, we develop a mixed-integer nonlinear programming model to study a multicommodity location-inventory problem in a forward-reverse logistics network. This model minimizes the total cost in this network by considering false failure returns, and it also considers many real-world business scenarios in forward and reverse logistics flows. Moreover, we design a new heuristic approach to solve the model efficiently. Finally, numerical experiments are conducted to validate our solution approach and provide meaningful managerial insights.

ACS Style

Congdong Li; Hao Guo; Ying Zhang; Shuai Deng; Yu Wang. An Improved Differential Evolution Algorithm for a Multicommodity Location-Inventory Problem with False Failure Returns. Complexity 2018, 2018, 1 -13.

AMA Style

Congdong Li, Hao Guo, Ying Zhang, Shuai Deng, Yu Wang. An Improved Differential Evolution Algorithm for a Multicommodity Location-Inventory Problem with False Failure Returns. Complexity. 2018; 2018 ():1-13.

Chicago/Turabian Style

Congdong Li; Hao Guo; Ying Zhang; Shuai Deng; Yu Wang. 2018. "An Improved Differential Evolution Algorithm for a Multicommodity Location-Inventory Problem with False Failure Returns." Complexity 2018, no. : 1-13.

Article
Published: 05 September 2018 in International Transactions in Operational Research
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This paper considers a supply chain consisting of one supplier and one retailer who jointly invest in item‐level radio frequency identification (RFID) by considering their demands and inventories. Since the supplier can be negative to adopt RFID, the main objective of this study is to design an effective mechanism that maximizes the profits of both players and the whole supply chain by implementing item‐level RFID. For this objective, we propose a novel revenue‐cost‐sharing (RCS) contract based on the bargaining game as the incentive to encourage the implementation, and numerical results show that the RCS contract is considerably more effective than the wholesale‐price contract for supply chain coordination. Moreover, we show that the retail supply chain can be coordinated perfectly under the RCS contract when the thresholds of the revenue/cost sharing rates are set appropriately. This study provides significant managerial insight into the incentive and coordination strategy to implement item‐level RFID in the retail supply chain.

ACS Style

Yanhui Li; Shuai Deng; Ying Zhang; Bailing Liu. Coordinating the retail supply chain with item‐level RFID and excess inventory under a revenue‐cost‐sharing contract. International Transactions in Operational Research 2018, 28, 1505 -1525.

AMA Style

Yanhui Li, Shuai Deng, Ying Zhang, Bailing Liu. Coordinating the retail supply chain with item‐level RFID and excess inventory under a revenue‐cost‐sharing contract. International Transactions in Operational Research. 2018; 28 (3):1505-1525.

Chicago/Turabian Style

Yanhui Li; Shuai Deng; Ying Zhang; Bailing Liu. 2018. "Coordinating the retail supply chain with item‐level RFID and excess inventory under a revenue‐cost‐sharing contract." International Transactions in Operational Research 28, no. 3: 1505-1525.

Journal article
Published: 03 September 2018 in Annals of Operations Research
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This paper studies a location-inventory problem in a closed-loop supply chain by considering the demand and sales in the primary and secondary markets. Based on a real business program in a big e-commerce company, we develop a mixed-integer nonlinear programming model with a single hybrid production-recovery center, multiple hybrid distribution-collection centers, and many customer zones. As a closed-loop system, forward and reverse logistics flows in each market are considered, and the logistics flows between the two markets are also captured. Moreover, a novel heuristic approach based on differential evolution is designed to solve the model efficiently, and its performance is also compared with other popular methods. Finally, research implications and managerial insights are provided to advance real-world practices.

ACS Style

Hao Guo; Ying Zhang; Chunnan Zhang; Yu Liu; Yuan Zhou. Location-inventory decisions for closed-loop supply chain management in the presence of the secondary market. Annals of Operations Research 2018, 291, 361 -386.

AMA Style

Hao Guo, Ying Zhang, Chunnan Zhang, Yu Liu, Yuan Zhou. Location-inventory decisions for closed-loop supply chain management in the presence of the secondary market. Annals of Operations Research. 2018; 291 (1-2):361-386.

Chicago/Turabian Style

Hao Guo; Ying Zhang; Chunnan Zhang; Yu Liu; Yuan Zhou. 2018. "Location-inventory decisions for closed-loop supply chain management in the presence of the secondary market." Annals of Operations Research 291, no. 1-2: 361-386.

Research article
Published: 22 July 2018 in Complexity
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Facility location, inventory management, and vehicle routing are three important decisions in supply chain management, and location-inventory-routing problems consider them jointly to improve the performance and efficiency of today’s supply chain networks. In this paper, we study a location-inventory-routing problem to minimize the total cost in a closed-loop supply chain that has forward and reverse logistics flows. First, we formulate this problem as a nonlinear integer programming model to optimize facility location, inventory control, and vehicle routing decisions simultaneously in such a system. Second, we develop a novel heuristic approach that incorporates simulated annealing into adaptive genetic algorithm to solve the model efficiently. Last, numerical analysis is presented to validate our solution approach, and it also provides meaningful managerial insight into how to improve the closed-loop supply chain under study.

ACS Style

Hao Guo; Congdong Li; Ying Zhang; Chunnan Zhang; Yu Wang. A Nonlinear Integer Programming Model for Integrated Location, Inventory, and Routing Decisions in a Closed-Loop Supply Chain. Complexity 2018, 2018, 1 -17.

AMA Style

Hao Guo, Congdong Li, Ying Zhang, Chunnan Zhang, Yu Wang. A Nonlinear Integer Programming Model for Integrated Location, Inventory, and Routing Decisions in a Closed-Loop Supply Chain. Complexity. 2018; 2018 ():1-17.

Chicago/Turabian Style

Hao Guo; Congdong Li; Ying Zhang; Chunnan Zhang; Yu Wang. 2018. "A Nonlinear Integer Programming Model for Integrated Location, Inventory, and Routing Decisions in a Closed-Loop Supply Chain." Complexity 2018, no. : 1-17.

Journal article
Published: 05 June 2018 in Sustainability
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To design sustainable supply chain systems in today’s business environment, this paper studies a location-inventory problem in a closed-loop supply chain by considering the sales of new and used products in the primary and secondary markets, respectively. This problem is formulated as a mixed-integer nonlinear program to optimize facility location and inventory management decisions jointly, and the logistics flows between the two markets are modeled dynamically. To solve this problem efficiently, a new heuristic approach is also developed by introducing an effective adaptive mechanism into differential evolution. Finally, numerical experiments are presented to validate the solution approach and provide valuable managerial insight. This paper makes a meaningful contribution to the literature by incorporating the secondary market into the study of closed-loop supply chains, and practically, it is also greatly beneficial to improve the sustainability and efficiency of modern supply chains.

ACS Style

Hao Guo; Congdong Li; Ying Zhang; Chunnan Zhang; Mengmeng Lu. A Location-Inventory Problem in a Closed-Loop Supply Chain with Secondary Market Consideration. Sustainability 2018, 10, 1891 .

AMA Style

Hao Guo, Congdong Li, Ying Zhang, Chunnan Zhang, Mengmeng Lu. A Location-Inventory Problem in a Closed-Loop Supply Chain with Secondary Market Consideration. Sustainability. 2018; 10 (6):1891.

Chicago/Turabian Style

Hao Guo; Congdong Li; Ying Zhang; Chunnan Zhang; Mengmeng Lu. 2018. "A Location-Inventory Problem in a Closed-Loop Supply Chain with Secondary Market Consideration." Sustainability 10, no. 6: 1891.

Original articles
Published: 19 June 2017 in International Journal of Production Research
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Third-party logistics (3PL) is a fast growing business. Many large organisations are using 3PL services to reduce operating costs, simplify business processes, and enhance operations and supply chain flexibility. In this paper, we study location-inventory decisions jointly in a closed-loop system with 3PL. First, a model formulation is proposed to develop mixed-integer non-linear programming (MINLP) models for the location-inventory problem under study. Then, a novel heuristics based on differential evolution and the genetic algorithm is designed to solve the MINLP models efficiently. Last, numerical study is presented to illustrate and validate the solution approach.

ACS Style

Yanhui Li; Hao Guo; Ying Zhang. An integrated location-inventory problem in a closed-loop supply chain with third-party logistics. International Journal of Production Research 2017, 56, 3462 -3481.

AMA Style

Yanhui Li, Hao Guo, Ying Zhang. An integrated location-inventory problem in a closed-loop supply chain with third-party logistics. International Journal of Production Research. 2017; 56 (10):3462-3481.

Chicago/Turabian Style

Yanhui Li; Hao Guo; Ying Zhang. 2017. "An integrated location-inventory problem in a closed-loop supply chain with third-party logistics." International Journal of Production Research 56, no. 10: 3462-3481.

Book chapter
Published: 24 May 2016 in Luxury Fashion Retail Management
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In this paper, we propose a novel aggregation–disaggregation scheme based on the analytic hierarchy process (AHP) to conduct sales forecasting in the fashion industry, where a stock keeping unit (SKU) is usually characterized by a short product life cycle and low sales volume because of various reasons such as the wide variety of products and the constant changes in fashion trends. To improve the accuracy of sales forecast, an AHP-based scheme is proposed to aggregate historical sales data so that future sales can be predicted with higher certainty, and then disaggregate forecast quantities over SKUs, products, or other entities of interest. The proposed scheme is evaluated by using real data collected from the fashion industry, and the experimental results show that under this scheme, the performance of two popular and well-established time series forecasting techniques, namely “moving average” and “exponential smoothing,” can be improved to predict the sales of the products with short history and low sales volumes. To continue this work, future research directions are also discussed.

ACS Style

Ying Zhang; Chunnan Zhang; Yu Liu. An AHP-Based Scheme for Sales Forecasting in the Fashion Industry. Luxury Fashion Retail Management 2016, 251 -267.

AMA Style

Ying Zhang, Chunnan Zhang, Yu Liu. An AHP-Based Scheme for Sales Forecasting in the Fashion Industry. Luxury Fashion Retail Management. 2016; ():251-267.

Chicago/Turabian Style

Ying Zhang; Chunnan Zhang; Yu Liu. 2016. "An AHP-Based Scheme for Sales Forecasting in the Fashion Industry." Luxury Fashion Retail Management , no. : 251-267.