A framework to assist supply chain agility development decision-making: a case study in an aerospace manufacturing company

2006 ◽  
Vol 1 (3) ◽  
pp. 244 ◽  
Author(s):  
Yi Sun ◽  
Z. Zhang ◽  
Eko Soehartono
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Agility ◽  
Aerospace Manufacturing ◽  
Manufacturing Company

Blockchain in Supply Chain: Case Study of Lottemart Ciputat

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
New Technology ◽  
Business Case ◽  
Analysis Method ◽  
Chain Management ◽  
Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

Supply chain agility in humanitarian protracted operations

2016 ◽  
Vol 6 (2) ◽  
pp. 173-201 ◽  
Author(s):  
Cécile L'Hermitte ◽  
Peter Tatham ◽  
Ben Brooks ◽  
Marcus Bowles
Keyword(s):  
Supply Chain ◽  
Humanitarian Logistics ◽  
Future Research ◽  
Short Term ◽  
Content Type ◽  
Emergency Operations ◽  
Supply Chain Agility ◽  
Agile Practices ◽  
Basic Features

Purpose – The purpose of this paper is to extend the concept of agility in humanitarian logistics beyond emergency operations. Since the humanitarian logistics literature focuses primarily on emergencies and sees longer term and regular operations as being conducted in relatively stable and predictable environments, agile practices are usually not associated with humanitarian protracted operations. Therefore, this paper explores the logistics and supply chain environment in such operations in order to identify their basic features and determine if agility is an important requirement. Design/methodology/approach – Using a case study of the United Nations World Food Programme, the authors collected and analysed qualitative and quantitative data on the characteristics of protracted operations, the risks and uncertainties most frequently encountered, their impact, and the ways that field logisticians manage contingencies. Findings – The research demonstrates that unpredictability and disruptions exist in protracted operations. Therefore, short-term operational adjustments and agile practices are needed in order to support the continuity of humanitarian deliveries. Research limitations/implications – Future research should focus on a wider range of humanitarian organisations and move from a descriptive to a prescriptive approach in order to inform practice. Notwithstanding these limitations, the study highlights the need for academics to broaden the scope of their research beyond emergencies and to address the specific needs of humanitarian organisations involved in longer term operations. Originality/value – This paper is the first empirical research focusing exclusively on the logistics features of humanitarian protracted operations. It provides a more concrete and complete understanding of these operations.

scholarly journals In pursuit of supply chain fit

2019 ◽  
Vol 30 (3) ◽  
pp. 821-844 ◽  
Author(s):  
Yasmine Sabri
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Firm Performance ◽  
Conceptual Framework ◽  
Organisational Structure ◽  
Content Type ◽  
Supply Chain Strategy ◽  
Corporate Groups ◽  
The Relationship

Purpose The purpose of this paper is to develop exploratory propositions and a conceptual framework on the interaction between organisational structure (decision-making centralisation and internal coordination) and the relationship between supply chain fit and firm performance. Design/methodology/approach Through a case study, two corporate groups with distinctive organisational structures were examined; both are undergoing a critical moment of changes to their top management and are reshaping their corporate and supply chain strategies. Data on decision-making centralisation, internal coordination mechanisms, supply, demand and innovation uncertainties, and supply chain strategies were collected from key respondents. Findings The analysis conducted suggests the need to consider the joint interaction between organisational structure and supply chain fit in offsetting the implications of a potential misfit on firm performance. Furthermore, the context sensitivity of a supply chain is often overlooked, hence simply modifying supply chain strategy does not necessarily lead to a variation in firm performance. Practical implications This research is of particular importance to most organisations in the testing times of uncertainty in the global landscape. It guides supply chain practitioners to better understand which elements of the organisational structure interact with the uncertainty of supply, demand and innovation. Originality/value This paper is one of the first to investigate the interaction between elements of organisational structure and supply chain fit and identify decision-making centralisation and coordination as the internal uncertainty factors that are most relevant to supply chain fit research. A conceptual framework has been built for future testing, in which the organisational structure moderates the relationship between supply chain fit and firm performance.

An integrated fuzzy-based multi-criteria decision-making approach for the selection of an effective manufacturing system

2018 ◽  
Vol 25 (1) ◽  
pp. 280-296 ◽  
Author(s):  
Ram Prakash ◽  
Sandeep Singhal ◽  
Ashish Agarwal
Keyword(s):  
Decision Making ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Research Work ◽  
Sustainable Growth ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Manufacturing Company ◽  
Selection Of

Purpose The research paper presents analysis and prioritization of barriers influencing the improvement in the effectiveness of manufacturing system. The purpose of this paper is to develop an integrated fuzzy-based multi-criteria decision-making (F-MCDM) framework to assist management of the case company in the selection of most effective manufacturing system. The framework helps in prioritizing the manufacturing systems on the basis of their effectiveness affected by the barriers. Design/methodology/approach In this paper, on the basis of experts’ opinion, five barriers have been identified in a brain-storming session. The problem of prioritization of manufacturing system is a multi-criteria decision-making (MCDM) problem and hence is solved by using the F-MCDM approach using dominance matrix. Findings Manufacturing systems’ effectiveness for Indian industries is influenced by barriers. The prioritization of manufacturing systems depends on qualitative factor decision-making criteria. Among the manufacturing systems, leagile manufacturing system is given the highest priority followed by lean manufacturing system, agile manufacturing system, flexible manufacturing system and cellular manufacturing system. Research limitations/implications The selection of an appropriate manufacturing system plays a vital role for sustainable growth of the manufacturing company. In the present work, barriers which influence the effectiveness of manufacturing system have been identified. On the basis of degree of influence of barriers on the effectiveness of the manufacturing system, five alternative manufacturing systems are prioritized. The framework will help the management of the case company to take reasonable decision for the adoption of the appropriate manufacturing system. Practical implications The results of the research work are very useful for the manufacturing companies interested in analyzing the alternative manufacturing systems on the basis of their effectiveness and their sensitivity toward various barriers. The management of Indian manufacturing company will take decision to adopt a manufacturing system whose effectiveness is least sensitive toward barriers. Effectiveness of such manufacturing system will improve with time without having retardation due to barriers. With improved effectiveness of the manufacturing system, the manufacturing company would be able to survive with global competition. The result of the present work is based on the inputs from the case company and may vary for the other manufacturing company. In the present work, only five alternative manufacturing systems and five barriers have been considered. To obtain the better result, MCDM approach with more number of alternative manufacturing systems and barriers might be considered. Originality/value The research work is based on the fuzzy analytic hierarchy process framework and on the case study conducted by the authors. The work carried out is original in nature and based on the real-life case study.

scholarly journals Significance of multi-objective optimization in logistics problem for multi-product supply chain network under the intuitionistic fuzzy environment

2021 ◽  
Author(s):  
Srikant Gupta ◽  
Ahteshamul Haq ◽  
Irfan Ali ◽  
Biswajit Sarkar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Real Life ◽  
Decision Makers ◽  
Supply Chain Network ◽  
Multi Objective ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Hierarchical Decision

AbstractDetermining the methods for fulfilling the continuously increasing customer expectations and maintaining competitiveness in the market while limiting controllable expenses is challenging. Our study thus identifies inefficiencies in the supply chain network (SCN). The initial goal is to obtain the best allocation order for products from various sources with different destinations in an optimal manner. This study considers two types of decision-makers (DMs) operating at two separate groups of SCN, that is, a bi-level decision-making process. The first-level DM moves first and determines the amounts of the quantity transported to distributors, and the second-level DM then rationally chooses their amounts. First-level decision-makers (FLDMs) aimed at minimizing the total costs of transportation, while second-level decision-makers (SLDM) attempt to simultaneously minimize the total delivery time of the SCN and balance the allocation order between various sources and destinations. This investigation implements fuzzy goal programming (FGP) to solve the multi-objective of SCN in an intuitionistic fuzzy environment. The FGP concept was used to define the fuzzy goals, build linear and nonlinear membership functions, and achieve the compromise solution. A real-life case study was used to illustrate the proposed work. The obtained result shows the optimal quantities transported from the various sources to the various destinations that could enable managers to detect the optimum quantity of the product when hierarchical decision-making involving two levels. A case study then illustrates the application of the proposed work.

scholarly journals Exploring future cityscapes through urban logistics prototyping: a technical viewpoint

2015 ◽  
Vol 20 (3) ◽  
pp. 341-352 ◽  
Author(s):  
Gary Graham ◽  
Rashid Mehmood ◽  
Eve Coles
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Mixed Method ◽  
City Planning ◽  
Supply Chain Design ◽  
Theory Building ◽  
Content Type ◽  
Method Approach ◽  
Unique Individual

Purpose – The purpose of this technical viewpoint is to provide a commentary of how we went about using logistics prototyping as a method to engage citizens, science fiction (SF) writers and small- to medium- sized enterprises (SME’s). Six urban logistic prototypes built on the themes of future cities, community resilience and urban supply chain management (SCM) are summarized, together with details of the data collection procedure and the methodological challenges encountered. Our investigation aimed to explore the potential of logistics prototyping to develop “user-driven” and “SME” approaches to future city design and urban supply chain decision-making. Design/methodology/approach – This Boston field experiment was a case study investigation conducted between May and August 2013. Qualitative data was collected using a “mixed-method” approach combining together focus groups (MIT faculty), scenarios, prototyping workshops, interviews and document analysis. These story-creators could use the prototype method as a way of testing their hypotheses, theories and constrained speculations with regard to specified future city and urban supply chain scenarios. Findings – This viewpoint suggests that the prototyping method allows for unique individual perspectives on future city planning and urban supply chain design. This work also attempts to demonstrate that prototyping can create sufficiently cogent environments for future city and urban SCM theories to be both detected and analysed therein. Although this is an experimental field of the SCM theory building, more conventional theories could also be “tested” in the same manner. Research limitations/implications – By embedding logistics prototyping within a mixed method approach, we might be criticized as constraining its capability to map out the future – that its potential to be flexible and imaginative are held back by the equal weighting given to the more conventional component. In basing our case study within one city then this might be seen as limiting the complexity of the empirical context – however, the situation within different cities is inherently complex. Case studies also attract criticism on the grounds of not being representative; in this situation, they might be criticized as imperfect indicators of what transpires in other situations. However, this technical viewpoint suggests that in spite of its limitations, prototyping facilitates an imaginative and creative approach to theory generation and concept building. Practical implications – The methodology allows everyday citizens and SME’s to develop user-driven foresight and planning scenarios with city strategists’ and urban logistic designers. It facilitates much broader stakeholder involvement in city and urban supply chain policymaking, than current “quantitative” approaches. Social implications – Logistics fiction prototyping provides a democratic approach to future city planning and urban supply chain design. It involves collectively imagining socio-technical futures and second-order sociological effects through the writing of SF narratives or building “design fictions”. Originality/value – Decision-making in future cities and urban SCM is often a notable challenge, balancing the varying needs and claims of multiple stakeholders, while negotiating an acceptable trade-off between their competing claims. Engagement with stakeholders and active encouragement of stakeholder participation in the supply chain aspects of future cities is increasingly a feature of twenty-first century social decision-making. This viewpoint suggests that the prototyping method allows for unique individual perspectives on future city planning and urban supply chain design. This work also attempts to demonstrate that prototyping can create sufficiently cogent environments for future city and the urban SCM theories to be both detected and analysed therein. Although this is an experimental field of SCM theory building, more conventional theories could also be “tested” in the same manner.

scholarly journals Supply Chain Information in Environmental Management Accounting – the case of a Vietnamese Coffee Exporter

2007 ◽  
Vol 1 (2) ◽  
pp. 296 ◽  
Author(s):  
Tobias Viere ◽  
Stefan Schaltegger ◽  
Jan Von Enden
Keyword(s):  
Environmental Management ◽  
Decision Making ◽  
Supply Chain ◽  
Management Accounting ◽  
Financial Decision Making ◽  
Southern Vietnam ◽  
Environmental Management Accounting ◽  
Financial Decision

This case study discusses Environmental Management Accounting (EMA) which are illustrated with the case example of Neumann Gruppe Vietnam Ltd., a medium-sized coffee refining and exporting enterprise in Southern Vietnam. It examines the relevance of environment-related supply chain information for corporate environmental and financial decision making and reveals possibilities for improving eco-efficiency at the site level and for its supply <br />chain.<br /><br />

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