Tactical supply planning in smart manufacturing supply chain

2019 ◽  
Vol 55 ◽  
pp. 217-233 ◽  
Author(s):  
Jisoo Oh ◽  
Bongju Jeong
Keyword(s):  
Supply Chain ◽  
Smart Manufacturing ◽  
Manufacturing Supply Chain ◽  
Supply Planning

scholarly journals Optimal product co-creation strategies in a service-oriented smart manufacturing supply chain

2021 ◽  
Vol 192 ◽  
pp. 1924-1933
Author(s):  
Xiao Zhang ◽  
Xiaoxiao Chang ◽  
Huaqing Qiu ◽  
Lindu zhao
Keyword(s):  
Supply Chain ◽  
Smart Manufacturing ◽  
Manufacturing Supply Chain ◽  
Service Oriented

scholarly journals A Review of 4IR/5IR Enabling Technologies and Their Linkage to Manufacturing Supply Chain

Technologies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 77
Author(s):  
Mokesioluwa Fanoro ◽  
Mladen Božanić ◽  
Saurabh Sinha
Keyword(s):  
Supply Chain ◽  
Industrial Revolution ◽  
Smart Manufacturing ◽  
Enabling Technology ◽  
Fourth Industrial Revolution ◽  
Enabling Technologies ◽  
Theoretical Synthesis ◽  
Manufacturing Supply Chain ◽  
Traditional Manufacturing ◽  
Manufacturing Technologies

Over the last decade, manufacturing processes have undergone significant change. Most factory activities have been transformed through a set of features built into a smart manufacturing framework. The tools brought to bear by the fourth industrial revolution are critical enablers of such change and progress. This review article describes the series of industrial revolutions and explores traditional manufacturing before presenting various enabling technologies. Insights are offered regarding traditional manufacturing lines where some enabling technologies have been included. The manufacturing supply chain is envisaged as enhancing the enabling technologies of Industry 4.0 through their integration. A systematic literature review is undertaken to evaluate each enabling technology and the manufacturing supply chain and to provide some theoretical synthesis. Similarly, obstacles are listed that must be overcome before a complete shift to smart manufacturing is possible. A brief discussion maps out how the fourth industrial revolution has led to novel manufacturing technologies. Likewise, a review of the fifth industrial revolution is given, and the justification for this development is presented.

Integrated Tubulars Supply Model Provides Cost Savings to Drilling Projects

2020 ◽  
Author(s):  
M. Hamzah
Keyword(s):  
Supply Chain ◽  
Cost Savings ◽  
Asia Pacific ◽  
Potential Cost ◽  
Alternative Scheme ◽  
Safety Stocks ◽  
Storage Location ◽  
Supply Planning ◽  
Drilling Site ◽  
Drilling Project

Classical Oil Country Tubular Goods (OCTG) procurement approach has been practiced in the indus-try with the typical process of setting a quantity level of tubulars ahead of the drilling project, includ-ing contingencies, and delivery to a storage location close to the drilling site. The total cost of owner-ship for a drilling campaign can be reduced in the range of 10-30% related to tubulars across the en-tire supply chain. In recent decades, the strategy of OCTG supply has seen an improvement resulting in significant cost savings by employing the integrated tubular supply chain management. Such method integrates the demand and supply planning of OCTG of several wells in a drilling project and synergize the infor-mation between the pipes manufacturer and drilling operators to optimize the deliveries, minimizing inventory levels and safety stocks. While the capital cost of carrying the inventory of OCTG can be reduced by avoiding the procurement of substantial volume upfront for the entire project, several hidden costs by carrying this inventory can also be minimized. These include storage costs, maintenance costs, and costs associated to stock obsolescence. Digital technologies also simplify the tasks related to the traceability of the tubulars since the release of the pipes from the manufacturing facility to the rig floor. Health, Safety, and Environmental (HSE) risks associated to pipe movements on the rig can be minimized. Pipe-by-pipe traceability provides pipes’ history and their properties on demand. Digitalization of the process has proven to simplify back end administrative tasks. The paper reviews the OCTG supply methods and lays out tangible improvement factors by employ-ing an alternative scheme as discussed in the paper. It also provides an insight on potential cost savings based on the observed and calculated experiences from several operations in the Asia Pacific region.

Research on the influence of relation embeddedness on innovation performance of manufacturing supply chain alliances using expert fuzzy rule –intermediary role of shared mental model

2021 ◽  
pp. 1-8
Author(s):  
Guo Lifang ◽  
Cui Yuwen ◽  
Wu Yamin ◽  
Ma Jiaqi
Keyword(s):  
Supply Chain ◽  
Mental Model ◽  
Fuzzy Rule ◽  
Innovation Performance ◽  
Market Demand ◽  
Shared Mental Model ◽  
Rule Based System ◽  
Manufacturing Supply Chain ◽  
Intermediary Role

The innovation and development of manufacturing supply chain alliance is an important way for enterprises to meet the increasing market demand and maintain the competitive advantage. From the perspective of embeddedness, the research model of relation embeddedness on innovation performance of manufacturing supply chain was constructed based on AMOS. Shared mental model was selected as intermediary variable to study the influence of relation embeddedness, shared mental model and innovation performance of manufacturing supply chain alliances. Expert fuzzy rule based system is utilized for measuring the performance of manufacturing supply chain alliances. The conclusion shows that relation embeddedness is significantly positive shared mental model and innovation performance. Shared mental model is positively affects alliance innovation performance and plays a part of intermediary role between relational embedding and alliance innovation performance. Practice implicates that enhance the level of relation embeddedness can promote the formation of shared mental model and improve the innovation performance of manufacturing supply chain alliance.

Measuring the Complexity of Additive Manufacturing Supply Chains

2017 ◽  
Author(s):  
Ardeshir Raihanian Mashhadi ◽  
Sara Behdad
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Supply Chains ◽  
Product Complexity ◽  
Information Theoretic ◽  
Manufacturing Method ◽  
Management Domain ◽  
Information Theoretic Measures ◽  
Production Cycles ◽  
Supply Planning

Complexity has been one of the focal points of attention in the supply chain management domain, as it deteriorates the performance of the supply chain and makes controlling it problematic. The complexity of supply chains has been significantly increased over the past couple of decades. Meanwhile, Additive Manufacturing (AM) not only revolutionizes the way that the products are made, but also brings a paradigm shift to the whole production system. The influence of AM extends to product design and supply chain as well. The unique capabilities of AM suggest that this manufacturing method can significantly affect the supply chain complexity. More product complexity and demand heterogeneity, faster production cycles, higher levels of automation and shorter supply paths are among the features of additive manufacturing that can directly influence the supply chain complexity. Comparison of additive manufacturing supply chain complexity to its traditional counterpart requires a profound comprehension of the transformative effects of AM on the supply chain. This paper first extracts the possible effects of AM on the supply chain and then tries to connect these effects to the drivers of complexity under three main categories of 1) market, 2) manufacturing technology, and 3) supply, planning and infrastructure. Possible impacts of additive manufacturing adoption on the supply chain complexity have been studied using information theoretic measures. An Agent-based Simulation (ABS) model has been developed to study and compare two different supply chain configurations. The findings of this study suggest that the adoption of AM can decrease the supply chain complexity, particularly when product customization is considered.

scholarly journals A Core Model for Parts Suppliers Selecting Method in Manufacturing Supply Chain

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Guorong Chen ◽  
Jiangyuan Zhao ◽  
Juli Deng
Keyword(s):  
Supply Chain ◽  
Complex Network ◽  
Manufacturing Systems ◽  
Fixed Number ◽  
Core Model ◽  
Supply Chain System ◽  
Chain System ◽  
Manufacturing Supply Chain ◽  
Service Oriented ◽  
Parts Suppliers

Service-oriented manufacturing is the new development of manufacturing systems, and manufacturing supply chain service is also an important part of the service-oriented manufacturing systems; hence, the optimal selection of parts suppliers becomes one of key problems in the supply chain system. Complex network theories made a rapid progress in recent years, but the classical models such as BA model and WS model can not resolve the widespread problems of manufacturing supply chain, such as the repeated attachment of edge and fixed number of vertices, but edges increased with preferential connectivity, and flexible edges’ probability. A core model is proposed to resolve the problem in the paper: it maps the parts supply relationship as a repeatable core; a vertex’s probability distribution function integrating the edge’s rate and vertex’s degree is put forward; some simulations, such as the growth of core, the degree distribution characteristics, and the impacting of parameter, are carried out in our experiments, and the case study is set also. The paper proposed a novel model to analyze the manufacturing supply chain system from the insights of complex network.

scholarly journals Supply chain resilience and measurement dimensions: The case of halal pharmaceuticals in Malaysia

2018 ◽  
Vol 56 ◽  
pp. 05001
Author(s):  
Osaro Aigbogun ◽  
Zulkipli Ghazali ◽  
Radzuan Razali
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Empirical Studies ◽  
Partial Least Square ◽  
Least Square ◽  
Manufacturing Companies ◽  
Cross Sectional ◽  
Supply Chain Resilience ◽  
Manufacturing Supply Chain ◽  
Cross Sectional Design

Resilience is the vital feature of supply chains that confers the ability to withstand the adverse effects of disruptive events. Most of the previous studies have been conceptual, theoretical, normative, or at best qualitative in approach, concentrating on identifying the elements of resilience. In spite of the proliferation of studies, an empirically validated quantitative study on justifying the measurement dimensions of supply chain resilience is rare, thus the need for further quantitative empirical studies. The context of the present study is the manufacturing supply chain of halal pharmaceuticals in Malaysia. A quantitative cross-sectional design was applied by means of self-administered structured questionnaire survey, using the Supply Chain Resilience Assessment and Management instrument (SCRAM© 2.0). The survey yielded usable responses from 106 manufacturing companies engaged in the production of halal pharmaceuticals in Malaysia. Descriptive statistics as well as partial least square-based structural equation modelling was used to analyze the survey data. This was facilitated by IBM SPSS statistics software (version 21.0), and Smart PLS 3.2.4 respectively. The results suggest that the psychometric properties of the supply chain resilience dimensions (vulnerabilities and capabilities) in the context of the present study are reliable and valid.

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