Bharat Tobacco: vendor selection and vendor rating

2013 ◽  
Vol 3 (2) ◽  
pp. 1-8
Author(s):  
Monica Singhania ◽  
Gagan Gandhi
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Operations Management ◽  
Manufacturing Industry ◽  
Marketing Research ◽  
Vendor Selection ◽  
Chain Management ◽  
Content Type ◽  
Vendor Rating

Subject area Supply chain management and particularly the significance of vendors as a strategic decision making tool. Study level/applicability The case is suitable for use in the following courses: MBA programs with specialisation in operations management where it can be used to teach students the significance of vendor selection and vendor rating in supply chain management (SCM); marketing research in management where it can be used to highlight the concept of multi attribute utility theory (MAUT) and its application; advanced statistics for multi criteria decision making (MCDM); and MBA/post graduate programs in management in strategic management where it can be used to introduce the concept of SWOT analysis and Porter's five forces model. An understanding of business process improvement will enable students get a comprehensive view about the case. Case overview This case showcases the concepts of MCDM and SCM in manufacturing industry. The company wanted to select vendors and rate them in each category of raw materials in order to have a competitive advantage over competitors. Since there are multiple attributes (often contradictory in nature) based on which the vendors would be selected Kaul, Vice-President, Commercial uses multi-attribute utility theory (MAUT) to help solve the problem. The case has implications for manufacturing industry in selecting vendors to meet a raw materials need. Expected learning outcomes The case can be used to understand management concepts such as market research, supply chain management and multi criteria decision making. It can be used to: teach complexities involved in identifying attributes for vendor selection and vendor rating; help understand supply chain management in business process improvement; help students understand the application of MCDM; and help MBA students studying marketing research. The case will also be useful to students in understanding the application of MCDM in operations management. Some knowledge about cigarette manufacturing will help students to realize the depth of the case. Supplementary materials Teaching notes are available for educators only. Please contact your library to gain login details or email [email protected] to request teaching notes.

Multiple temporal perspectives extend sustainable competitiveness

2017 ◽  
Vol 37 (11) ◽  
pp. 1600-1624 ◽  
Author(s):  
Robert Klassen ◽  
Sara Hajmohammad
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Operations Management ◽  
Process Time ◽  
Temporal Orientation ◽  
Multiple Perspectives ◽  
Chain Management ◽  
Content Type ◽  
Starting Point ◽  
Short Termism

Purpose In operations and supply chain management, time is largely one-dimensional – less is better – with much effort devoted to compressing, efficiently using, and competitively exploiting clock-time. However, by drawing on other literatures, the purpose of this paper is to understand implications for the field of operations management if we also emphasize how humans and organizations experience time, termed process-time, which is chronicled by events and stages of change. Design/methodology/approach After a brief review, the limitations of the recurrent time-oriented themes in operations management and the resulting short-termism are summarized. Next, sustainability is offered as an important starting point to explore the concept of temporality, including both clock- and process-time, as well as the implications of temporal orientation and temporal conflict in supply chains. Findings A framework that includes both management and stakeholder behavior is offered to illustrate how multiple temporal perspectives might be leveraged as a basis for an expanded and enriched understanding of more sustainable competitiveness in operations. Social implications Research by others emphasizes the importance of stakeholders to competitiveness. By recognizing that different stakeholder groups have varying temporal orientations and temporality, managers can establish objectives and systems that better reflect time-based diversity and diffuse temporal conflict. Originality/value This paper summarizes how time has been incorporated in operations management, as well as the challenges of short-termism. Sustainability forms the basis for exploring multiple perspectives of time and three key constructs: temporal orientation, temporality, and temporal conflict. A framework is proposed to better incorporate temporal perspectives as a basis for competitiveness in operations and supply chain management.

Lean resilience: AURA (Active Usage of Resilience Assets) framework for post-COVID-19 supply chain management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dmitry Ivanov
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Value Creation ◽  
Operations Management ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Digital Platforms ◽  
Supply Chain Resilience ◽  
Resilience Capabilities

PurposeSupply chain resilience capabilities are usually considered in light of some anticipated events and are as passive assets, which are “waiting” for use in case of an emergency. This, however, can be inefficient. Moreover, the current COVID-19 pandemic has revealed difficulties in the timely deployments of resilience assets and their utilization for value creation. We present a framework that consolidates different angles of efficient resilience and renders utilization of resilience capabilities for creation of value.Design/methodology/approachWe conceptualise the design of the AURA (Active Usage of Resilience Assets) framework for post-COVID-19 supply chain management through collating the extant literature on value creation-oriented resilience and practical examples and complementing our analysis with a discussion of practical implementations.FindingsBuilding upon and integrating the existing frameworks of VSC (Viable Supply Chain), RSC (Reconfigurable Supply Chain) and LCNSC (Low-Certainty-Need Supply Chain), we elaborate on a new idea in the AURA approach – to consider resilience as an inherent, active and value-creating component of operations management decisions, rather than as a passive “shield” to protect against rare, severe events. We identify 10 future research areas for lean resilience integrating management and digital platforms and technology.Practical implicationsThe outcomes of our study can be used by supply chain and operations managers to improve the efficiency and effectiveness by turning resilience from passive, cost-driving assets into a value-creating, inclusive decision-making paradigm.Originality/valueWe propose a novel approach to bring more dynamics to the notion of supply chain resilience. We name our approach AURA and articulate its two major advantages as follows: (1) reduction of disruption prediction efforts and (2) value creation from resilience assets. We offer a discussion on ten future research directions towards a lean resilience.

scholarly journals Mapping the operations and supply chain management field: a journal governance perspective

2017 ◽  
Vol 37 (7) ◽  
pp. 898-926 ◽  
Author(s):  
Thomas F. Burgess ◽  
Paul Grimshaw ◽  
Luisa Huaccho Huatuco ◽  
Nicola E. Shaw
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Operations Management ◽  
Academic Discipline ◽  
Research Question ◽  
Knowledge Structures ◽  
Academic Journal ◽  
Chain Management ◽  
Content Type ◽  
Advisory Boards

Purpose The purpose of this paper is to address the following research question: how do the interlocking editorial advisory boards (EABs) of operations and supply chain management (OSCM) journals map out the field’s diverse academic communities and how demographically diverse is the field and its communities? Design/methodology/approach The study applies social network analysis (SNA) to web-based EAB data for 38 journals listed under operations management (OM) in the 2010 ABS Academic Journal Quality Guide. Findings The members of EABs of the 38 journals are divided into seven distinct communities which are mapped to the field’s knowledge structures and further aggregated into a core and periphery of the network. A burgeoning community of supply chain management academics forms the core along with those with more traditional interests. Male academics affiliated to the US institutions and to business schools predominate in the sample. Research limitations/implications A new strand of research is opened up connecting journal governance networks to knowledge structures in the OSCM field. OM is studied separately from its reference and associated disciplines. The use of the ABS list might attract comments that the study has an implicit European perspective – however the authors do not believe this to be the case. Practical implications The study addresses the implications of the lack of diversity for the practice of OM as an academic discipline. Social implications The confirmation of the dominance of particular characteristics such as male and US-based academics has implications for social diversity of the field. Originality/value As the first study of its kind, i.e. SNA of EAB members of OSCM journals, this study marks out a new perspective and acts as a benchmark for the future.

Green sourcing in the era of industry 4.0: towards green and digitalized competitive advantages

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alireza Fallahpour ◽  
Morteza Yazdani ◽  
Ahmed Mohammed ◽  
Kuan Yew Wong
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Industry 4.0 ◽  
Supplier Selection ◽  
Research Work ◽  
Operational Efficiency ◽  
Chain Management ◽  
Content Type ◽  
The Way

PurposeIn the last decade, sustainable sourcing decision has gained tremendous attention due to the increasing governmental restrictions and public attentiveness. This decision involves diverse sets of classical and environmental parameters, which are originated from a complex, ambiguous and inconsistent decision-making environment. Arguably, supply chain management is fronting the next industrial revolution, which is named industry 4.0, due to the fast advance of digitalization. Considering the latter's rapid growth, current supplier selection models are, or it will, inefficient to assign the level of priority of each supplier among a set of suppliers, and therefore, more advanced models merging “recipes” of sustainability and industry 4.0 ingenuities are required. Yet, no research work found towards a digitalized, along with sustainability's target, sourcing.Design/methodology/approachA new framework for green and digitalized sourcing is developed. Thereafter, a hybrid decision-making approach is developed that utilizes (1) fuzzy preference programming (FPP) to decide the importance of one supplier attribute over another and (2) multi-objective optimization on the basis of ratio analysis (MOORA) to prioritize suppliers based on fuzzy performance rating. The proposed approach is implemented in consultation with the procurement department of a food processing company willing to develop a greener supply chain in the era of industry 4.0.FindingsThe proposed approach is capable to recognize the most important evaluation criteria, explain the ambiguity of experts' expressions and having better discrimination power to assess suppliers on operational efficiency and environmental and digitalization criteria, and henceforth enhances the quality of the sourcing process. Sensitivity analysis is performed to help managers for model approval. Moreover, this work presents the first attempt towards green and digitalized supplier selection. It paves the way towards further development in the modelling and optimization of sourcing in the era of industry 4.0.Originality/valueCompetitive supply chain management needs efficient purchasing and production activities since they represent its core, and this arises the necessity for a strategic adaptation and alignment with the requirement of industry 4.0. The latter implies alterations in the avenue firms operate and shape their activities and processes. In the context of supplier selection, this would involve the way supplier assessed and selected. This work is originally initiated based on a joint collaboration with a food company. A hybrid decision-making approach is proposed to evaluate and select suppliers considering operational efficiency, environmental criteria and digitalization initiatives towards digitalized and green supplier selection (DG-SS). To this end, supply chain management in the era of sustainability and digitalization are discussed.

An empirical investigation on lean supply chain management frameworks in Indian manufacturing industry

2017 ◽  
Vol 66 (6) ◽  
pp. 699-723 ◽  
Author(s):  
Naga Vamsi Krishna Jasti ◽  
Suresh Kurra
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Frequency Distribution ◽  
Empirical Data ◽  
Manufacturing Industry ◽  
Chain Process ◽  
Distribution Analysis ◽  
Chain Management ◽  
Content Type ◽  
Lean Supply Chain

Purpose Supply chain management plays a vital role in deciding the final cost of products. A huge number of non-value-added activities are performed throughout supply chain process. Lean principles are useful to identify and eliminate waste activities across the supply chain management processes. The purpose of this paper is to examine the validity and reliability of the existing lean supply chain management (LSCM) frameworks in the Indian manufacturing industry through questionnaire survey methodology. Design/methodology/approach The present study collected empirical data from 180 top- and middle-level management personnel from the Indian manufacturing industry. Factor analysis was performed to check unidimensionality of LSCM frameworks by using empirical data. Cronbach’s α value of each selected LSCM framework was calculated to find out its reliability. Finally, frequency distribution analysis was performed on the selected framework to identify and reveal critical constructs of LSCM. Findings It was found that nine LSCM frameworks show unidimensionality. The study established that most of the selected frameworks exposed a high level of reliability. The frequency distribution analysis revealed that the larger part of the constructs had a high mean score and mode. It is concluded that there is a need for a new LSCM framework to fulfill the requirements of the Indian manufacturing industry. Originality/value The present study is focused on checking the suitability of existing LSCM frameworks in the Indian manufacturing sector. It is anticipated that the study will be helpful to the professionals who wish to execute appropriate LSCM framework in the manufacturing organization.

Supply chain management of teamwork: six guidelines for success

2014 ◽  
Vol 20 (3/4) ◽  
pp. 178-190
Author(s):  
Ana Shetach
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Limited Attention ◽  
Chain Management ◽  
Content Type ◽  
Implementation Processes ◽  
Team Decision ◽  
High Level ◽  
Optimal Set

Purpose – This paper aims to draw on know-how from the study of Team and Project Management, to seek insights into enhancing the effectiveness of supply chain management (SCM) ventures, with the aim of contributing to their effective and efficient decision-making and operation processes. Design/methodology/approach – Based on an analysis of the obstacles that may stand in the way of the efficient implementation of SCM processes, six specific conditions for such mega-projects’ success are proposed. A couple of practical tools for their attainment are presented. Findings – The article suggests that the construction of the teams involved, as well as the working procedures that may render their work effective, should be flexible and made adaptable to the specific assignment or case, which is handled by each team, at the time; and that the optimal set of procedures to adopt, throughout the working sessions of the teams, which are involved in the process, are those which will gear the team with the means to contribute to the eventual materializing and finalization of a quality and practical set of decisions for the benefit of the overall SCM process. Practical implications – The article offers a practical step-by-step set of six guidelines to lead executives and managers of SCM processes toward a relatively high level of control in the establishment of effective and efficient team-decision-making and implementation processes within SCM inter-and intra-organizational teams. Originality/value – Limited attention has been given in the literature to the studying of practical and applicable managerial techniques for successful decision-implementation processes in SCM teams. This article focuses on this neglected domain, proposing a solution, in the form of an integrative micro-level SCM operational strategy.

scholarly journals Social network analysis in operations and supply chain management: a review and revised research agenda

2020 ◽  
Vol 40 (7/8) ◽  
pp. 1153-1176 ◽  
Author(s):  
Yujia Han ◽  
Nigel David Caldwell ◽  
Abhijeet Ghadge
Keyword(s):  
Supply Chain ◽  
Social Network ◽  
Supply Chain Management ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Value Creation ◽  
Operations Management ◽  
Chain Management ◽  
Content Type ◽  
Contemporary Management

PurposeSocial network analysis (SNA) seeks to manage the connections between entities through investigating and understanding behaviours and relationships. This study demonstrates the increasing relevance of social network approaches to solving contemporary and looming operations management (OM) and supply chain management (SCM) problems; including the coordination operations challenges raised by increased connectivity.Design/methodology/approachThe systematic literature review approach adopted here examines 63 papers in OM and SCM published between 2000 and 2019. To-date OM reviews on SNA have focussed on discussing archetypal supply chains, what differentiates this study is the focus on how value was created in other forms of chains and operations.FindingsThis study reveals that current SNA adoption in OM is dominated by a manufacturing style focus on linear, sequential value creation, with a resulting focus only on sequential interdependence. SNA studies on reciprocally co-ordinated value creation (e.g. many service and network operations) are shown to have been neglected and are linked to a new agenda on contemporary management issues.Research limitations/implicationsBeyond encouraging the use of SNA, this study seeks to re-orient SNA approaches towards how contemporary services and networks create value.Originality/valueThrough adopting a unique combination of approaches and frameworks, this study challenges extant work to offer a substantially revised agenda for SNA use in Operations and Supply Chain Management.

The role of blockchain in reducing the impact of barriers to humanitarian supply chain management

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ali Ihsan Ozdemir ◽  
Ismail Erol ◽  
Ilker Murat Ar ◽  
Iskender Peker ◽  
Ali Asgary ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Decision Aid ◽  
Decision Makers ◽  
Chain Management ◽  
Content Type ◽  
Humanitarian Supply Chain ◽  
The Impact

PurposeThe objective of this study is to investigate the role of blockchain in reducing the impact of barriers to humanitarian supply chain management (HSCM) using a list of blockchain benefits.Design/methodology/approachA decision aid was used to explore the suitability of blockchain in humanitarian supply chains. To achieve that, first, a list of barriers to HSCM was identified. Then, the intuitionistic fuzzy decision-making trial and evaluation laboratory (IF–DEMATEL) method was utilized to determine the relationships and the level of interdependencies among the criteria. Finally, the intuitionistic fuzzyanalytic network process (IF–ANP) technique was employed, as it successfully handles dependencies among the criteria.FindingsThe findings of this study suggest that interorganizational barriers are the most suitable ones, the impacts of which blockchain may alleviate. This study further suggests that trust turned out to be the most significant benefit criterion for the analysis.Research limitations/implicationsThe readers should construe the findings of this study with caution since it was carried out using the data collected from the experts of a particular country. Moreover, the proposed decision aid contemplates a limited set of criteria to assess a possible role of blockchain in overcoming the barriers to HSCM.Practical implicationsThe findings of this study can assist humanitarian supply chain managers to make more judicious assessments on whether they implement the blockchain in humanitarian supply chain operations. Specifically, this research may help decision makers to identify the certain barriers, the impact of which may be reduced by using the blockchain. The findings of this research will also help various decision makers make more rational decisions and allocate their resources more effectively.Originality/valueTo the best of authors’ knowledge, no single study exists to investigate the role of blockchain in reducing the impact of barriers to HSCM using an intuitionistic fuzzy multi-criteria decision-making approach.

A global exploration of Big Data in the supply chain

2016 ◽  
Vol 46 (8) ◽  
pp. 710-739 ◽  
Author(s):  
Robert Glenn Richey ◽  
Tyler R. Morgan ◽  
Kristina Lindsey-Hall ◽  
Frank G. Adams
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Operations Management ◽  
Success Factors ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Key Success Factors ◽  
Starting Point

Purpose Journals in business logistics, operations management, supply chain management, and business strategy have initiated ongoing calls for Big Data research and its impact on research and practice. Currently, no extant research has defined the concept fully. The purpose of this paper is to develop an industry grounded definition of Big Data by canvassing supply chain managers across six nations. The supply chain setting defines Big Data as inclusive of four dimensions: volume, velocity, variety, and veracity. The study further extracts multiple concepts that are important to the future of supply chain relationship strategy and performance. These outcomes provide a starting point and extend a call for theoretically grounded and paradigm-breaking research on managing business-to-business relationships in the age of Big Data. Design/methodology/approach A native categories qualitative method commonly employed in sociology allows each executive respondent to provide rich, specific data. This approach reduces interviewer bias while examining 27 companies across six industrialized and industrializing nations. This is the first study in supply chain management and logistics (SCMLs) to use the native category approach. Findings This study defines Big Data by developing four supporting dimensions that inform and ground future SCMLs research; details ten key success factors/issues; and discusses extensive opportunities for future research. Research limitations/implications This study provides a central grounding of the term, dimensions, and issues related to Big Data in supply chain research. Practical implications Supply chain managers are provided with a peer-specific definition and unified dimensions of Big Data. The authors detail key success factors for strategic consideration. Finally, this study notes differences in relational priorities concerning these success factors across different markets, and points to future complexity in managing supply chain and logistics relationships. Originality/value There is currently no central grounding of the term, dimensions, and issues related to Big Data in supply chain research. For the first time, the authors address subjects related to how supply chain partners employ Big Data across the supply chain, uncover Big Data’s potential to influence supply chain performance, and detail the obstacles to developing Big Data’s potential. In addition, the study introduces the native category qualitative interview approach to SCMLs researchers.

Theory development in China-based supply chain management research

2016 ◽  
Vol 27 (3) ◽  
pp. 972-1001 ◽  
Author(s):  
Xiaohong Liu ◽  
Alan C. McKinnon
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Operations Management ◽  
Management Practices ◽  
Early Stage ◽  
Theory Development ◽  
Business Environment ◽  
Chinese Economy ◽  
Chain Management ◽  
Content Type

Purpose Although well established in North America and Europe, the study of supply chain management (SCM) is still at a relatively early stage in its development in China. The transformation and rapid growth of the Chinese economy has, nevertheless, created major supply chain challenges for the country making SCM a very fertile area of business research. In Western countries, research on SCM is now mature and underpinned by a solid body of theory. The purpose of this paper is to examine the extent to which research on SCM in China has also developed a theoretical basis. Design/methodology/approach The research involved a systematic review of 150 papers published in 18 journals in the fields of SCM, logistics, operations management and marketing during the period 2004-2014. A three-step process was adopted to select appropriate journals, identify relevant articles and classify them in terms of their theoretical content. Findings The study has confirmed that, because of its unique economic, political and cultural setting, supply chain development in China has presented new research challenges. Many examples were found of researchers conducting quasi-experiments to test the applicability of established theories to Chinese supply chains while others have tried to develop new ones that are more closely aligned with the Chinese economy and management practices. Researchers have exhibited a heavy reliance on existing theories, with relatively few attempting to customise them to the Chinese context or to construct new ones. Research limitations/implications Given the broad scope of SCM, it is possible that the journal and paper selection processes have accidentally screened out relevant papers. The total sample of papers is, nevertheless, large for an explorative study of this type and should, therefore, give an overall impression of the level of theory development in Chinese SCM research. Practical implications This study provides a general framework within which to assess the application and development of theories in the Chinese SCM context. It is principally concerned with three components: the SCM phenomena studied, the Chinese business environment and the theoretical contribution of the research. The paper is targeted more at an academic audience than practitioners, though provides an overview of the research so far undertaken on SCM in China that should be of wider interest. Originality/value This study is the first of its kind to review China-based SCM research systematically from the perspective of theory development. It should support the evolution of SCM theory not only in China but also more generally.

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