Duxian Nie, Ting Qu, Yang Liu, Congdong Li and G.Q. Huang
The purpose of this paper is to study various combination forms of the three basic sharing elements (i.e. orders sharing, manufacturers capacity sharing and suppliers capacity…
Abstract
Purpose
The purpose of this paper is to study various combination forms of the three basic sharing elements (i.e. orders sharing, manufacturers capacity sharing and suppliers capacity sharing) in the cluster supply chain (CSC), formulate a distributed model to protect enterprises’ decision privacy and seek to develop an effective method for solving the distributed complex model.
Design/methodology/approach
A distributed assembly cluster supply chain configuration (ACSCC) model is formulated. An improved augmented Lagrangian coordination (ALC) is proposed and used to solve the ACSCC model. A series of experiments are conducted to validate the improved ALC and the model.
Findings
Two major findings are obtained. First, the market order’s quantity change and the sales price of the product have a great impact on both the optimal results of the ACSCC and the cooperative strategy, especially, when the market order increases sharply, enterprises have to adopt multiple cooperative strategies to complete the order; meanwhile, the lower sales price of the product helps independent suppliers to get more orders. Second, the efficiency and computational accuracy of the improved ALC method are validated as compared to the centralized ALC and Lingo11.
Research limitations/implications
This paper formulated the single-period ACSCC model under certain assumptions, yet a multi-period ACSCC model is to be developed, a more comprehensive investigation of the relationships among combination forms is to be extended further and a rigid proof of the improved ALC is necessary.
Practical implications
Enterprises in the industrial cluster should adopt different cooperative strategies in terms of the market order’s quantity change and the sales price of the product.
Social implications
The proposed various combination forms of sharing elements and the formulated ACSCC model provide guidance to managers in the industrial cluster to choose the proper policy.
Originality/value
This research studies various combination forms of the three basic sharing elements in the CSC. A distributed ACSCC model has been established considering simultaneously multiple sharing elements. An improved ALC is presented and applied to the ACSCC problem.
Details
Keywords
Venessa Chan Lyu, José Luis Roldán, Wynne Chin, Vincent Liu and Congdong Li
Highlighting supplier collaboration is a widely adopted practice in tea shops, cafes and other related businesses. However, few studies have examined the effects of…
Abstract
Purpose
Highlighting supplier collaboration is a widely adopted practice in tea shops, cafes and other related businesses. However, few studies have examined the effects of supplier-focused food ingredient presentation on consumers' behavioral intentions in food and hospitality research. This study identified the role of restaurant–supplier co-creation and explored its effects on clients' behavioral intention through both value perception and image.
Design/methodology/approach
This study developed and tested a model through a survey with 365 responses, which was carried out in China. The measurement and effects of restaurant–supplier co-creation are explored using composite-based structural equation modeling.
Findings
The results show that restaurant–supplier co-creation has a positive effect on perceptions of food value, service value and image. Though restaurant–supplier co-creation does not directly affect behavioral intention, it can enhance behavioral intention by improving customers' impressions.
Originality/value
This study contributes to the emerging literature by conceptualizing the role of restaurant–supplier co-creation. The research combines image theory and perceived value theory in one empirical model to explore the effects of co-creation. The project provides a paradigm for designing technical artifacts using composite-based structural equation modeling.
Details
Keywords
Min Tian, Ying Cao, Naiming Xie and Sifeng Liu
The purpose of this paper is to construct a novel GM(0, N) model based on grey number sequences and to solve the problem of cost forecasting of commercial aircraft which puzzled…
Abstract
Purpose
The purpose of this paper is to construct a novel GM(0, N) model based on grey number sequences and to solve the problem of cost forecasting of commercial aircraft which puzzled managers, especially the factors of cost with uncertain information.
Design/methodology/approach
Based on the definition of traditional GM(0, N) model, the paper considers the limited information and knowledge, and the algorithm of grey numbers with greyness and kernel was designed. A novel GM(0, N) model based on grey number sequences, named the IN‐GM(0, N) model, is proposed according to the definition of the grey numbers algorithm. The steps of the proposed model are then given. Finally, a case of domestic commercial aircrafts is developed as an example, based on information gathering and model calculating.
Findings
The results of this research indicate that the IN‐GM(0,N) model is effective in cost calculating, providing reliable technical support for cost estimation of large‐scale complex equipment including commercial aircraft.
Practical implications
Cost forecasting of commercial aircraft can be solved effectively and the model can also be utilized to predicate other products.
Originality/value
The paper succeeds in constructing a novel grey forecasting model. This work contributes significantly to improving grey forecasting theory and to undoubtedly propose more novel grey forecasting models.
Details
Keywords
Patrick Dallasega, Manuel Woschank, Joseph Sarkis and Korrakot Yaibuathet Tippayawong
This study aims to provide a measurement model, and the underlying constructs and items, for Logistics 4.0 in manufacturing companies. Industry 4.0 technology for logistics…
Abstract
Purpose
This study aims to provide a measurement model, and the underlying constructs and items, for Logistics 4.0 in manufacturing companies. Industry 4.0 technology for logistics processes has been termed Logistics 4.0. Logistics 4.0 and its elements have seen varied conceptualizations in the literature. The literature has mainly focused on conceptual and theoretical studies, which supports the notion that Logistics 4.0 is a relatively young area of research. Refinement of constructs and building consensus perspectives and definitions is necessary for practical and theoretical advances in this area.
Design/methodology/approach
Based on a detailed literature review and practitioner focus group interviews, items of Logistics 4.0 for manufacturing enterprises were further validated by using a large-scale survey with practicing experts from organizations located in Central Europe, the Northeastern United States of America and Northern Thailand. Exploratory and confirmatory factor analyses were used to define a measurement model for Logistics 4.0.
Findings
Based on 239 responses the exploratory and confirmatory factor analyses resulted in nine items and three factors for the final Logistics 4.0 measurement model. It combines “the leveraging of increased organizational capabilities” (factor 1) with “the rise of interconnection and material flow transparency” (factor 2) and “the setting up of autonomization in logistics processes” (factor 3).
Practical implications
Practitioners can use the proposed measurement model to assess their current level of maturity regarding the implementation of Logistics 4.0 practices. They can map the current state and derive appropriate implementation plans as well as benchmark against best practices across or between industries based on these metrics.
Originality/value
Logistics 4.0 is a relatively young research area, which necessitates greater development through empirical validation. To the best of the authors knowledge, an empirically validated multidimensional construct to measure Logistics 4.0 in manufacturing companies does not exist.