scholarly journals Proactive Supply Chain Performance Management with Predictive Analytics

2014 ◽  
Vol 2014 ◽  
pp. 1-17 ◽  
Author(s):  
Nenad Stefanovic
Keyword(s):  
Data Mining ◽  
Supply Chain ◽  
Supply Chains ◽  
Performance Management ◽  
Predictive Analytics ◽  
Measurement Data ◽  
Business Environment ◽  
Supply Chain Performance ◽  
Web Portal ◽  
Data Set

Today’s business climate requires supply chains to be proactive rather than reactive, which demands a new approach that incorporates data mining predictive analytics. This paper introduces a predictive supply chain performance management model which combines process modelling, performance measurement, data mining models, and web portal technologies into a unique model. It presents the supply chain modelling approach based on the specialized metamodel which allows modelling of any supply chain configuration and at different level of details. The paper also presents the supply chain semantic business intelligence (BI) model which encapsulates data sources and business rules and includes the data warehouse model with specific supply chain dimensions, measures, and KPIs (key performance indicators). Next, the paper describes two generic approaches for designing the KPI predictive data mining models based on the BI semantic model. KPI predictive models were trained and tested with a real-world data set. Finally, a specialized analytical web portal which offers collaborative performance monitoring and decision making is presented. The results show that these models give very accurate KPI projections and provide valuable insights into newly emerging trends, opportunities, and problems. This should lead to more intelligent, predictive, and responsive supply chains capable of adapting to future business environment.

An environmental balanced scorecard for supply chain performance measurement (Env_BSC_4_SCPM)

2016 ◽  
Vol 23 (6) ◽  
pp. 1398-1422 ◽  
Author(s):  
Luís Miguel D. F. Ferreira ◽  
Cristóvão Silva ◽  
Susana Garrido Azevedo
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Performance Management ◽  
Balanced Scorecard ◽  
Environmental Performance ◽  
Supply Chain Performance ◽  
Content Type ◽  
Proposed Model ◽  
Novel Model

Purpose – Companies need to excel in many areas to achieve a competitive advantage. This, together with pressure imposed by regulators and customers regarding sustainability concerns, leads companies to address sustainability in an integrated fashion across all management processes. The purpose of this paper is to suggest a model for the assessment of the environmental performance of a supply chain, based on four perspectives used in the balanced scorecard. Performance indicators are proposed based on the literature, as well as on the ISO 14031 and GRI standards, and were validated by a panel of experts. Design/methodology/approach – Based on a literature review on models for environmental performance management a novel model to assess the environmental performance of the supply chains (Env_BSC_4_SCPM) is proposed. Data collected from the first tier suppliers of an automotive industry case study are used to test the proposed model. Findings – The model developed was tested in a case study company, showing it ability to benchmark the company first tiers suppliers and products. The model is also useful as a decision support tool to define actions to be taken in order to improve the global environment performance of the supply chain. Research limitations/implications – The proposed model was developed to evaluate the environmental performance of supply chains. Nevertheless, the case study only takes account of the first tier suppliers, due to difficulties associated to data collecting for the other elements in the supply chain. Widening the frontiers, the next phase may include the application of this model to second, third and lower tier suppliers, as well as the final customer. Improvements in the model could also include the construction of a composite index to measure the environmental supply chain performance. Practical implications – The paper provides a model that can be used by practitioners to evaluate the environmental performance of their supply chain and to decide on actions to be taken to improve it. Originality/value – As stated by several authors, there has been limited research conducted in the field of environmental evaluation of supply chains. This paper proposes a novel model for the environmental performance of the supply chain and tests it using industrial empirical data.

Supply chain innovations for additive manufacturing

2019 ◽  
Vol 50 (1) ◽  
pp. 54-79 ◽  
Author(s):  
Toni Luomaranta ◽  
Miia Martinsuo
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Supply Chains ◽  
Business Processes ◽  
Production Systems ◽  
Business Environment ◽  
Machine Building ◽  
Data Set ◽  
Holistic View ◽  
Content Type

Purpose Additive manufacturing (AM) involves the renewal of production systems and also has implications for firms’ supply chains. Innovations related to AM supply chains are, so far, insufficiently understood, but their success will require firms’ awareness of their systemic nature and their firm-specific implications. The purpose of this paper is to explore the supply chain innovations dealing with AM in business-to-business supply chains. Design/methodology/approach An exploratory qualitative research design is used. Interviews were conducted in 20 firms, workshops were organized to map AM-related processes and activities, and supply chain innovations were analyzed. Findings This study reveals practical changes in supply chains and requirements for AM-related supply chain innovations. While earlier research has centered on technology or firm-specific AM implementations, this study shows that fully leveraging AM will require innovations at the level of the supply chain, including innovations in business processes, technology and structure, as well as supportive changes in the business environment. These innovations occur in different parts of the AM supply chain and are emphasized differently within different firm types. Research limitations/implications This research was conducted in one country in the context of the machine building and process industry with a limited data set, which limits the generalizability of the results. The results offer an analytical framework and identify new research avenues for exploring the innovations in partial or complete AM supply chains. Practical implications The results offer a framework to assess the current state and future needs in AM-related supply chain innovations. Practical ideas are proposed to enhance AM adoption throughout firms’ supply chains. These results are important to managers because they can help them position their firms and guide the activities and collaborations with other firms in the AM supply chain. Originality/value This study draws attention to the supply chain innovations required when firms adopt AM in their processes. The generic supply chain innovation framework is enhanced by adding the business context as a necessary component. Implementation of AM is shown to depend on the context both at the level of the supply chain and the firm’s unique role in the supply chain. The holistic view taken reveals that successful AM technology adoption requires broad involvement from different firms across the supply chain.

Supply chain performance benchmarking using grey-MOORA approach

2014 ◽  
Vol 4 (1) ◽  
pp. 24-55 ◽  
Author(s):  
Anoop Kumar Sahu ◽  
Saurav Datta ◽  
Siba Sankar Mahapatra
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
Performance Management ◽  
Complex Problem ◽  
Supply Chain Performance ◽  
Global Marketplace ◽  
Content Type ◽  
Performance Benchmarking ◽  
Ranking Order

Purpose – In today's competitive global marketplace, performance management has been identified as a key strategic consideration towards achieving an efficient supply chain management. The task of estimating supply chain performance extent is seemed a complex problem entitled with multiple subjective performance measures and metrics; subjected to decision-making environment which involves an inherent vagueness, inconsistency and incompleteness associated with decision-makers (DMs) (expert panel) commitment towards assessment of various subjective (quantitative) evaluation indices. Consequently, it becomes difficult towards making a comparative study on performances of alternative supply chains. It is, therefore, indeed essential to conceptualize and develop an efficient appraisement platform helpful for benchmarking of alternative supply chains based on their performance extent. The paper aims to discuss these issues. Design/methodology/approach – The work explores the concept of grey numbers combined with multi-objective optimization by ratio analysis (MOORA) in perceptive to evaluate best alternative from among available alternative supply chains. Findings – The method has been found fruitful to facilitate such a multi-criteria group decision-making (MCGDM) problem under uncertain environment and provides an appropriate compromise ranking order with respect to available possible alternatives. Originality/value – Supply chain performance appraisement provides necessary means by which an organization can assess whether its supply chain is performing well, whether it has been improved or degraded as compared to the past record. The purpose of this research is to develop and to empirically test a multiple-indices hierarchical appraisement model for benchmarking of supply chain performance and its impact on competitiveness of manufacturing industries.

scholarly journals Collaborative predictive business intelligence model for spare parts inventory replenishment

2015 ◽  
Vol 12 (3) ◽  
pp. 911-930 ◽  
Author(s):  
Nenad Stefanovic
Keyword(s):  
Data Mining ◽  
Supply Chain ◽  
Inventory Management ◽  
Business Intelligence ◽  
Supply And Demand ◽  
Real Data ◽  
Business Environment ◽  
Spare Parts ◽  
Data Set ◽  
Inventory Replenishment

In today?s volatile and turbulent business environment, supply chains face great challenges when making supply and demand decisions. Making optimal inventory replenishment decision became critical for successful supply chain management. Existing traditional inventory management approaches and technologies showed as inadequate for these tasks. Current business environment requires new methods that incorporate more intelligent technologies and tools capable to make fast, accurate and reliable predictions. This paper deals with data mining applications for the supply chain inventory management. It describes the unified business intelligence semantic model, coupled with a data warehouse to employ data mining technology to provide accurate and up-to-date information for better inventory management decisions and to deliver this information to relevant decision makers in a user-friendly manner. Experiments carried out with the real data set, from the automotive industry, showed very good accuracy and performance of the model which makes it suitable for collaborative and more informed inventory decision making.

Supply Chain Performance Management

Controlling ◽  
2003 ◽  
Vol 15 (11) ◽  
pp. 615-622 ◽  
Author(s):  
Carsten Glohr
Keyword(s):  
Supply Chain ◽  
Performance Management ◽  
Supply Chain Performance

scholarly journals A Dynamic Stackelberg Game of Supply Chain for a Corporate Social Responsibility

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Massimiliano Ferrara ◽  
Mehrnoosh Khademi ◽  
Mehdi Salimi ◽  
Somayeh Sharifi
Keyword(s):  
Corporate Social Responsibility ◽  
Supply Chain ◽  
Social Responsibility ◽  
Supply Chains ◽  
Equilibrium Point ◽  
Stackelberg Game ◽  
Dynamic Game ◽  
Supply Chain Performance ◽  
Information Structures ◽  
Corporate Social

In this paper, we establish a dynamic game to allocate CSR (Corporate Social Responsibility) to the members of a supply chain. We propose a model of a supply chain in a decentralized state which includes a supplier and a manufacturer. For analyzing supply chain performance in decentralized state and the relationships between the members of the supply chain, we formulate a model that crosses through multiperiods with the help of a dynamic discrete Stackelberg game which is made under two different information structures. We obtain an equilibrium point at which both the profits of members and the level of CSR taken up by supply chains are maximized.

Applying Industry 4.0 technologies in the COVID–19 sustainable chains

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carina Acioli ◽  
Annibal Scavarda ◽  
Augusto Reis
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Industry 4.0 ◽  
Supply Chain Performance ◽  
Chain Process ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
Sustainable Performance ◽  
The Social ◽  
New Research

PurposeThe purpose of this paper is 1) to investigate the effects on the crucial Industry 4.0 technological innovations that interact between the real and virtual worlds and that are applied in the sustainable supply chain process; 2) to contribute to the identification of the opportunities, the challenges and the gaps that will support the new research study developments and 3) to analyze the impact of the Industry 4.0 technologies as facilitators of the sustainable supply chain performance in the midst of the Coronavirus (COVID-19).Design/methodology/approachThis research is performed through a bibliographic review in the electronic databases of the Emerald Insight, the Scopus and the Web of Science, considering the main scientific publications on the subject.FindingsThe bibliographic search results in 526 articles, followed by two sequential filters for deleting the duplicate articles (resulting in 487 articles) and for selecting the most relevant articles (resulting in 150 articles).Practical implicationsThis article identifies the opportunities and the challenges focused on the emerging Industry 4.0 theme. The opportunities can contribute to the sustainable performance of the supply chains and their territories. The Industry 4.0 can also generate challenges like the social inequalities related to the position of the man in the labor market by replacing the human workforce with the machines. Therefore, the man-machine relationship in the Industry 4.0 era is analyzed as a gap in the literature. Therefore, as a way to fill this gap, the authors of this article suggest the exploration of the research focused on the Society 5.0. Also known as “super-smart society,” this recent theme appeared in Japan in April 2016. According to Fukuda (2020), in addition to the focus on the technological development, the Society 5.0 also aims at the quality of life and the social challenge resolutions.Originality/valueThis article contributes to the analysis of the Industry 4.0 technologies as facilitators in the sustainable supply chain performance. It addresses the impacts of the Industry 4.0 technologies applied to the supply chains in the midst of the COVID-19 pandemic, and it analyzes the research gaps and limitations found in the literature. The result of this study can add value and stimulate new research studies related to the application of the Industry 4.0 technologies as facilitators in the supply chain sustainable performance. It can encourage the studies related to the COVID-19 impacts on the sustainable supply chains, and it can promote the research development on the relationship among the man, the machine and the labor in the Fourth Industrial Revolution.

Dynamic capabilities in the “new normal”: a study of organizational flexibility, integration and agility in the Peruvian coffee supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Edgar Ramos ◽  
Andrea S. Patrucco ◽  
Melissa Chavez
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Food Supply ◽  
Dynamic Capabilities ◽  
Partial Least Square ◽  
Least Square ◽  
Supply Chain Performance ◽  
Organizational Flexibility ◽  
Content Type ◽  
Food Supply Chains

Purpose Considering the unprecedented supply chain disruptions due to the COVID-19 pandemic, especially in the agri-food sector, the possession of dynamic capabilities (DCs) – particularly, the need for higher agility – seems to be the key to survival in highly uncertain environments. This study aims to use the dynamic capability view (DCV) theory to analyze how three key supply chain capabilities – organizational flexibility, integration and agility – should be combined to obtain the desired supply chain performance. Design/methodology/approach The authors designed a conceptual model in which the relationships between these three key capabilities and supply chain performance were hypothesized. The model was first tested through partial least square regression using survey data collected from 98 members of the Peruvian coffee supply chain. A fuzzy-set qualitative comparative analysis (fsQCA) was conducted to uncover how DCs could be combined in successful supply chain configurations. Findings The authors show that organizational flexibility is a driver of higher agility in agri-food supply chains, together with external and internal supply chain integration, that have a direct impact on agility, which positively affects supply chain performance. Higher levels of supply chain agility are necessary but insufficient to guarantee high performance, as sufficiency is reached when both integration (internal and/or external) and agility are present. Originality/value This study represents a pioneering attempt to apply the DCV theory to agri-food supply chains – characterized by many sources of uncertainty. All the DCs are included within the same model and the joint use of PLS regression and fsQCA provides evidence about the relationships between DCs and how they can empower agri-food supply to obtain the desired performance.

Broken chocolate: biomarkers as a method for delivering cocoa supply chain visibility

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pedro Lafargue ◽  
Michael Rogerson ◽  
Glenn C. Parry ◽  
Joel Allainguillaume
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Unknown Origin ◽  
Child Labour ◽  
Institutional Pressures ◽  
Structured Interviews ◽  
Data Set ◽  
Content Type ◽  
Modern Slavery ◽  
Chain Map

Purpose This paper examines the potential of “biomarkers” to provide immutable identification for food products (chocolate), providing traceability and visibility in the supply chain from retail product back to farm. Design/methodology/approach This research uses qualitative data collection, including fieldwork at cocoa farms and chocolate manufacturers in Ecuador and the Netherlands and semi-structured interviews with industry professionals to identify challenges and create a supply chain map from cocoa plant to retailer, validated by area experts. A library of biomarkers is created using DNA collected from fieldwork and the International Cocoa Quarantine Centre, holders of cocoa varieties from known locations around the world. Matching sample biomarkers with those in the library enables identification of origins of cocoa used in a product, even when it comes from multiple different sources and has been processed. Findings Supply chain mapping and interviews identify areas of the cocoa supply chain that lack the visibility required for management to guarantee sustainability and quality. A decoupling point, where smaller farms/traders’ goods are combined to create larger economic units, obscures product origins and limits visibility. These factors underpin a potential boundary condition to institutional theory in the industry’s fatalism to environmental and human abuses in the face of rising institutional pressures. Biomarkers reliably identify product origin, including specific farms and (fermentation) processing locations, providing visibility and facilitating control and trust when purchasing cocoa. Research limitations/implications The biomarker “meta-barcoding” of cocoa beans used in chocolate manufacturing accurately identifies the farm, production facility or cooperative, where a cocoa product came from. A controlled data set of biomarkers of registered locations is required for audit to link chocolate products to origin. Practical implications Where biomarkers can be produced from organic products, they offer a method for closing visibility gaps, enabling responsible sourcing. Labels (QR codes, barcodes, etc.) can be swapped and products tampered with, but biological markers reduce reliance on physical tags, diminishing the potential for fraud. Biomarkers identify product composition, pinpointing specific farm(s) of origin for cocoa in chocolate, allowing targeted audits of suppliers and identifying if cocoa of unknown origin is present. Labour and environmental abuses exist in many supply chains and enabling upstream visibility may help firms address these challenges. Social implications By describing a method for firms in cocoa supply chains to scientifically track their cocoa back to the farm level, the research shows that organizations can conduct social audits for child labour and environmental abuses at specific farms proven to be in their supply chains. This provides a method for delivering supply chain visibility (SCV) for firms serious about tackling such problems. Originality/value This paper provides one of the very first examples of biomarkers for agricultural SCV. An in-depth study of stakeholders from the cocoa and chocolate industry elucidates problematic areas in cocoa supply chains. Biomarkers provide a unique biological product identifier. Biomarkers can support efforts to address environmental and social sustainability issues such as child labour, modern slavery and deforestation by providing visibility into previously hidden areas of the supply chain.

Proposed Framework for Research in the Triple A (Agility, Adaptability, Alignment) in Supply Chains

2011 ◽  
pp. 306-321 ◽  
Author(s):  
Ivan Arana-Solares ◽  
Jose Machuca ◽  
Rafaela Alfalla-Luque
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Competitive Advantage ◽  
Business Performance ◽  
Business Environment ◽  
Sustainable Competitive Advantage ◽  
Global Business ◽  
The Impact

In the rapidly changing global business environment, it can be seen that supply chain designs based solely on efficiency and speed do not necessarily lead to a sustainable competitive advantage. According to Lee (2004), this can only be done if supply chains are designed to incorporate the Triple A: Agility, Adaptability and Alignment. Although Lee provided some examples, to date his claim has not been empirically tested, which is essential. A number of studies have looked at the three component parts of the Triple A separately, but as yet no studies have focused on all three Triple A components concurrently, or on the impact they have on business performance. The main aim of this chapter is to determine the dimensions and factors that characterize these variables, in order to empirically test the accuracy of Lee’s claim.

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