scholarly journals A Predictive Maintenance System for Reverse Supply Chain Operations

Logistics ◽  
2022 ◽  
Vol 6 (1) ◽  
pp. 4
Author(s):  
Sotiris P. Gayialis ◽  
Evripidis P. Kechagias ◽  
Grigorios D. Konstantakopoulos ◽  
Georgios A. Papadopoulos
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Methodological Approach ◽  
Spare Part ◽  
Life Cycles ◽  
Predictive Maintenance ◽  
Successful Implementation ◽  
Equipment Maintenance ◽  
Reverse Supply Chain ◽  
Service Supply Chain

Background: Reverse supply chains of machinery and equipment face significant challenges, and overcoming them is critical for effective customer service and sustainable operation. Maintenance and repair services, strongly associated with the reverse movement of equipment, are among the most demanding reverse supply chain operations. Equipment is scattered in various locations, and multiple suppliers are involved in its maintenance, making it challenging to manage the related reverse supply chain operations. Effective maintenance is essential for businesses-owners of the equipment, as reducing costs while improving service quality helps them gain a competitive advantage. Methods: To enhance reverse supply chain operations related to equipment maintenance, this paper presents the operational framework, the methodological approach, and the architecture for developing a system that covers the needs for predictive maintenance in the service supply chain. It is based on Industry 4.0 technologies, such as the Internet of things, machine learning, and cloud computing. Results: As a result of the successful implementation of the system, effective equipment maintenance and service supply chain management is achieved supporting the reverse supply chain. Conclusions: This will eventually lead to fewer good-conditioned spare part replacements, just in time replacements, extended equipment life cycles, and fewer unnecessary disposals.

Improving Forecasting for Customer Service Supply Chain Using Big Data Analytics

2018 ◽  
pp. 25-41 ◽  
Author(s):  
Kedareshwaran Subramanian ◽  
Kedar Pandurang Joshi ◽  
Sourabh Deshmukh
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Customer Service ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Resource Planning ◽  
Road Map ◽  
Service Supply Chain ◽  
Data Ecosystem ◽  
Manufacturing Organization

In this book chapter, the authors highlight the potential of big data analytics for improving the forecasting capabilities to support the after-sales customer service supply chain for a global manufacturing organization. The forecasting function in customer service drives the downstream resource planning processes to provide the best customer experience at optimal costs. For a mature, global organization, its existing systems and processes have evolved over time and become complex. These complexities result in informational silos that result in sub-optimal use of data thereby creating inaccurate forecasts that adversely affect the planning process in supporting the customer service function. For addressing this problem, the authors argue for the use of frameworks that are best suited for a big data ecosystem. Drawing from existing literature, the concept of data lakes and data value chain have been used as theoretical approaches to devise a road map to implement a better data architecture to improve the forecasting capabilities in the given organizational scenario.

scholarly journals Reverse supply chain practices in developing countries: the case of Morocco

2018 ◽  
Vol 29 (1) ◽  
pp. 198-216 ◽  
Author(s):  
Jamal El Baz ◽  
Regina Frei ◽  
Issam Laguir
Keyword(s):  
Developing Countries ◽  
Supply Chain ◽  
Case Studies ◽  
Environmental Sustainability ◽  
Business Models ◽  
Developed Countries ◽  
Future Research ◽  
Successful Implementation ◽  
Reverse Supply Chain ◽  
Content Type

Purpose The purpose of this paper is to investigate reverse supply chain (RSC) practices and their obstacles using case studies of Moroccan companies. The authors present the main findings of case studies’ analysis along with a discussion of an RSC framework for further directions of research. Design/methodology/approach A qualitative approach was adopted and semi-structured interviews with Moroccan companies were conducted using an interview guide. Findings The authors present an RSC model that encompasses remanufacturing, refurbishing and disposal processes. The authors believe that this model would constitute a promising framework for further research. The findings show that the successful implementation of RSC depends on many factors, but the company’s attitude (proactive or conservative) is one of the most critical determinants in RSC initiatives. Furthermore, the results of the case studies indicate two types of inhibitors: external and internal. These findings confirm the results of previous research on environmental sustainability obstacles in general and RSC obstacles in particular. Research limitations/implications This study has some limitations that provide future research opportunities. Because this study is qualitative, further statistical support is needed to justify wider generalisation of its findings. Further studies might therefore investigate RSC practices in developing countries other than Morocco to increase the external validity of the results. Practical implications The findings can help firms to gain better understanding of their RSC and particularly the link between forward and RSCs. Consequently, companies can upgrade their business models to better control their RSC activities. Originality/value The relevant literature about RSC practices has mainly targeted manufacturing sectors in developed countries, and few studies have been conducted on developing countries. Research on RSC practices in developing countries in general and African countries in particular is sparse. This is one of the first articles written to address this gap by investigating RSC practices in Morocco.

Performance Measurement of Logistics Service Supply Chain Using Bijective Soft Set

2015 ◽  
Vol 14 (01) ◽  
pp. 23-40 ◽  
Author(s):  
Ke Gong ◽  
Heli Yan
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Customer Service ◽  
Measurement System ◽  
Soft Set ◽  
Performance Measurement System ◽  
Corporate Management ◽  
Logistics Service ◽  
Service Supply Chain ◽  
Important Approach

In the logistics service supply chain (LSSC), performance measurement is an important approach that can improve competitiveness of the overall supply chain. In the complicated measurement system, it includes various quantitative and qualitative indices with uncertain problems. However, classical measurement methods were based on subjective suggestion to weigh each index in the measurement system; moreover, there is no well-established performance measurement system (PMS) for evaluation of LSSC. For those reasons, this paper aims to present Bijective soft set approach to deal with the performance measurement of LSSC, which ensures the objective of the weight of each index and gets the core indices of the PMS. Based on the overall LSSC operation, customer service, and corporate management — the three parts in the proposed system of LSSC — the indices, and consistency of the metrics have been selected. Finally, an empirical analysis of developed framework for performance measurement is conducted and tested.

scholarly journals Feasibility of warehouse drone adoption and implementation

2018 ◽  
Vol 28 (2) ◽  
pp. 31-48 ◽  
Author(s):  
Edward Companik ◽  
Michael J Gravier ◽  
M Theodore Farris
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Technology Diffusion ◽  
Life Cycles ◽  
Decision Makers ◽  
Theoretical Perspectives ◽  
Adoption And Implementation ◽  
The Us ◽  
The Cost ◽  
Warehouse Operations

While aerial delivery drones capture headlines, the pace of adoption of drones in warehouses has shown the greatest acceleration. Warehousing constitutes 30% of the cost of logistics in the US. The rise of ecommerce, greater customer service demands of retail stores, and a shortage of skilled labor have intensified competition for efficient warehouse operations. This takes place during an era of shortening technology life cycles. This paper integrates several theoretical perspectives on technology diffusion and adoption to propose a framework to inform supply chain decision-makers on when to invest in new robotics technology.

Improved Customer Service Using RFID Technology

2010 ◽  
Vol 14 (3) ◽  
Author(s):  
Patrick Jaska ◽  
Don Bosco Adarsh Johnson ◽  
Jithender Nalla ◽  
Nandikonda Vinod Kumar Reddy ◽  
Raghavender Tadisina
Keyword(s):  
Supply Chain ◽  
Radio Frequency ◽  
Case Studies ◽  
Customer Service ◽  
Radio Frequency Identification ◽  
Rfid Technology ◽  
Service Supply Chain ◽  
Frequency Identification ◽  
External Customer

Customer service is an important aspect of the service supply chain. Radio frequency identification (RFID) can be used to improve customer service in the service supply chain.  This paper examines the use of RFID in the service supply chain by examining case studies and illustrating RFID usage with respect to both internal and external customer service.

scholarly journals Super Responsive Supply Chain: The Case of Spanish Fast Fashion Retailer Inditex-Zara

2018 ◽  
Vol 13 (5) ◽  
pp. 212 ◽  
Author(s):  
Md Afzalul Aftab ◽  
Qin Yuanjian ◽  
Nadia Kabir ◽  
Zapan Barua
Keyword(s):  
Supply Chain ◽  
Product Design ◽  
Distribution Channel ◽  
Life Cycles ◽  
Successful Implementation ◽  
Production Operation ◽  
Market Demand ◽  
Fast Fashion ◽  
Chain Flexibility ◽  
Responsive Supply Chain

The successful implementation of an integrated supply chain strategy enhances total control over the operations and thus enhances speed and flexibility. The objective of this study is two-fold: first to identify the constituents that mold the fast fashion retailing business model, and second to discuss how global leader of fast fashion retailing Inditex-Zara’s product offering is strongly supported by integration of various supply chain operations. The findings suggest that vertical integration through ownership of various operational stages including product design and development, production operation, logistics and distribution channel; appropriate sourcing strategy to meet product needs; application of process/product modularity practices in product design, material procurement and manufacturing to ensure manufacturing flexibility; flexible logistics capability; and all of these seamlessly integrated and coordinated by a centralized IT infrastructure can significantly raise overall supply chain flexibility and responsiveness. Inditex-Zara’s super-responsive supply chain reduces ‘bullwhip effect’, order-to-delivery lead time to stores, ensures lean inventory and high level of responsiveness to adapt and deliver products to stores with latest fashion trends and customer feedbacks at a rapid speed. Thus Inditex-Zara is able to successfully counter the negative effects of short product life cycles, high product variety, demand uncertainty and thus able to closely match product supply to the stores with market demand. This contributes to lower inventory backlogs; avoid mark-down losses and/or inventory stock out.

The Customer Service Management Process

2003 ◽  
Vol 14 (2) ◽  
pp. 15-31 ◽  
Author(s):  
Yemisi A. Bolumole ◽  
A. Michael Knemeyer ◽  
Douglas M. Lambert
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Customer Service ◽  
Service Management ◽  
Customer Relationship ◽  
Successful Implementation ◽  
Management Process ◽  
Real Time System ◽  
Chain Management ◽  
Customer Service Management

Customer service management is the supply chain management process that represents the firm's face to the customer. The process is the key point of contact for administering product and service agreements (PSAs) developed by customer teams as part of the customer relationship management process. The goal is to provide a single source of customer information, such as product availability, shipping dates and order status. Customer service management requires a real‐time system to respond to customer inquiries and facilitate order placement. In this paper, we describe the customer service management process in detail to demonstrate how it can be implemented and managed. To do this, we detail the activities of each strategic and operational sub‐process; evaluate the interfaces with the business functions, the other seven supply chain management processes; and describe examples of successful implementation.

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