scholarly journals Scenario-Driven Supply Chain Charaterization Using a Multi-Dimensional Approach

Author(s):  
Ana Cristina Barros ◽  
Pedro Pinho Senna ◽  
Irene Marchiori ◽  
Dimitra Kalaitzi ◽  
Sébastien Balech

AbstractExtreme disruptive events, such as the volcano eruption in Iceland, the Japanese tsunami, and the COVID-19 pandemic, as well as constant changes in customers’ needs and expectations, have forced supply chains to continuously adapt to new environments. Consequently, it is paramount to understand the supply chain characteristics for possible future scenarios, in order to know how to respond to threats and take advantage of the opportunities that the next years will bring. This chapter focuses on describing the characteristics of the supply chain in each of the six macro-scenarios presented in Sardesai et al. (2020b), as final stage of the scenario building methodology. Supply chains for each scenario are characterized in eight dimensions: Products and Services, Supply Chain Paradigm, Sourcing and Distribution, Technology Level, Supply Chain Configuration, Manufacturing Systems, Sales Channel, and Sustainability.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Luciano Batista ◽  
Manoj Dora ◽  
Jose Arturo Garza-Reyes ◽  
Vikas Kumar

PurposeThe purpose of this paper is to present a methodological approach to support qualitative analysis of waste flows in food supply chains. The methodological framework introduced allows the identification of circular food waste flows that can maximise the sustainability of food supply chains.Design/methodology/approachFollowing a qualitative approach, circular economy perspectives are combined with core industrial ecology concepts in the specification of a standardised analytical method to map food waste flows and industrial synergies across a supply chain.FindingsThe mapped waste flows and industrial linkages depict two time-related scenarios: (1) current scenarios showing the status quo of existing food waste flows, and (2) future scenarios pointing out circular flows along the supply chain. The future scenarios inform potential alternatives to take waste flows up the food waste hierarchy.Research limitations/implicationsThe qualitative approach does not allow generalisations of findings out of the scope of the study. The framework is intended for providing focussed analysis, case by case. Future research involving mixed methods where quantitative approaches complement the qualitative perspectives of the framework would expand the analytical perspective.Originality/valueThe framework provides a relatively low-cost and pragmatic method to identify alternatives to minimise landfill disposals and improve the sustainability of food supply chains. Its phased methodology and standardised outcomes serve as a referential basis to inform not only comparative analysis, but also policymaking and strategic decisions aimed at transforming linear food supply chains into circular economy ecosystems.


Author(s):  
Hui Wang ◽  
Xiaowei Zhu ◽  
S. Jack Hu ◽  
Yoram Koren

This paper studies the complexity of assembly supply chains in mass customization environment. The high product variety from mass customization increases the complexity of assembly supply chains. The paper identifies the factors causing supply chain complexity and defines a complexity measure of an assembly supply chain based on these factors and the information entropy theory. Algorithms that determine the optimal supply chain configuration are developed to minimize the supply chain complexity (without and with assembly constraints). This analytical study of supply chain complexity will generate new insights on the influence of product variety on supply chains performance in mass customization. The model and algorithms developed in this paper can assist in making decisions such as when and how to implement a modular assembly supply chain and how much variety should be economically offered.


2011 ◽  
Vol 201-203 ◽  
pp. 1082-1085
Author(s):  
Wen Jie Xu ◽  
Jin Yao

Customized Supply Chain Management (CSCM) has been made much account of attention in Flexible Manufacturing Systems (FSM). Products are customized by customer’s special needs at stochastic time. Then Manufacturing Oriented to Customization (MOC) would inevitably be faced by those enterprises that had to meet the changeable and complex needs of customers. However, there were large quantities of difficulties would appear in MOC supply chains, such as information overload, technology and resource constraints. All of these problems made it hard to quickly and effectively respond to customers’ needs. Therefore, we need to find a new way to deal effectively with the problems about how to respond quickly to supply chains oriented to customization. Petri Nets have been extensively used for modeling and simulating of the dynamics of flexible manufacturing systems. However, Petri Nets have not been very popular for molding of workflow in CSCM environmental. In this paper Stochastic Timed Petri Nets (STPN) were used to solve the above problems. The enterprises’ workflow was analyzed, and then the STPN model was constructed according to the characteristics of its internal supply chain. In order to minimize total tardiness time of workflow, the structure of STPN was optimized in a proper way. The results suggest that the STPN approach is also valid to minimize due date of each transition in CSCM and responses to customized needs more quickly than before.


2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajesh Kumar Singh ◽  
Pravin Kumar ◽  
Mahesh Chand

Purpose Today, most of the manufacturing systems are changing very fast in terms of the adoption of new technologies. New technologies being implemented are Internet of Things, cyber physical systems, cloud computing, Big Data analytics and information and communication technologies. Most of the organizations in the value chain are implementing these technologies at the individual level rather than across the whole supply chain. It makes the supply chain less coordinated and causes suboptimal utilization of resources. For efficient and optimal use of modern technologies, supply chains should be highly coordinated. The purpose of this paper is to illustrate an approach for determining the index to quantify coordination in the supply chain. Design/methodology/approach From the literature review, total 32 factors have been identified. These factors are further clubbed into six clusters for evaluation of the coordination index. The graph theoretic approach has been used for evaluating the coordination index of a supply chain of an Indian organization. Findings This study has illustrated a comprehensive approach to quantify coordination of a supply chains for effective benchmarking of the supply chain performance in the Industry 4.0 era. Presently, it is observed that top management is giving more focus on organizational issues such as lean organization structure, organization culture and responsiveness factors for improving coordination in the supply chain rather than on Industry 4.0 technologies. Originality/value This framework can also be used for comparison, ranking and analysis of coordination issues in different supply chains in the era of Industry 4.0. Organizations can use this approach for benchmarking purpose also to improve different supply chain processes for meeting dynamic market requirements.


2020 ◽  
pp. 51-58
Author(s):  
N. Yu. Barkova

The issues related to changing customer preferences in the fashion industry have been considered. Changing consumer preferences, according to the author, can have an impact on the configuration of supply chains in the fashion industry. Among such new requirements of consumers in the fashion industry, the author have highlighted: consumer requests for the fastest possible receipt of products, production of products for specific individual requests of buyers, requests for transparency of supply chains and some others. In such situation, owners of clothing and footwear brands can cope with the new challenges of the company by re-shoring production with the organization of digital, robotic production factories.


Author(s):  
Liliana Bolaños-Zúñiga ◽  
Carlos Julio Vidal-Holguin

The explicit consideration of inventory holding costs for the strategic design of supply chains has not been sufficiently addressed in scientific literature. A possible cause is that usually supply chain optimization models are deterministic and linear or mixed-integer linear, while forecasting methods and inventory control systems are stochastic and non-linear. It is clear, however, that inventory costs might have a significant impact on optimal supply chain configuration and on distribution systems expansion or contraction. This article presents a practical strategy that considers an item-by-item inventory control system by means of a Monte Carlo simulation model as a starting point to include inventory holding costs in a supply chain optimization model. Three strategies to include inventory costs in the objective function were analyzed: The Square Root Law (SRL), the potential functions that relate average inventory with warehouse throughput, and the estimation of average inventories by simulation. The results suggest that the SRL should not be used unless unusual assumptions hold and that potential functions are a very good approximation to consider inventory costs for supply chain configuration.


Author(s):  
Hui Wang ◽  
Jeonghan Ko ◽  
Xiaowei Zhu ◽  
S. Jack Hu

A complexity measure for assembly supply chains has been proposed based on Shannon’s information entropy. This paper extends the definition of such a measure by incorporating the detailed information of the supply chain structure, the number of variants offered by each node in the supply chain, and the mix ratios of the variants at each node. The complexity measure is then applied to finding the optimal assembly supply chain configuration given the number of variants offered at the final assembler and the mix ratios of these variants. The optimal assembly supply chain configuration is theoretically studied in two special scenarios: (1) there is only one dominant variant among all the variants offered by the final assembler, and (2) demand shares are equal across all variants at the final assembler. It is shown that in the first scenario where one variant dominates the demand, the optimal assembly supply chain should be nonmodular; but in the scenario of equal demand shares, a modular supply chain is better than nonmodular one when the product variety is high. Finally a methodology is developed to find the optimal supply chain with/without assembly sequence constraints for general demands.


Somatechnics ◽  
2012 ◽  
Vol 2 (2) ◽  
pp. 250-262 ◽  
Author(s):  
Oron Catts ◽  
Ionat Zurr

The paper discusses and critiques the concept of the single engineering paradigm. This concepts allude to a future in which the control of matter and life, and life as matter, will be achieved by applying engineering principles; through nanotechnology, synthetic biology and, as some suggest, geo-engineering, cognitive engineering and neuro-engineering. We outline some issues in the short history of the field labelled as Synthetic Biology. Furthermore; we examine the way engineers, scientists, designers and artists are positioned and articulating the use of the tools of Synthetic Biology to expose some of the philosophical, ethical and political forces and considerations of today as well as some future scenarios. We suggest that one way to enable the possibilities of alternative frames of thought is to open up the know-how and the access to these technologies to other disciplines, including artistic.


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