Sustainability management in supply chains: the role of familiness

2021 ◽  
Vol 173 ◽  
pp. 121078
Author(s):  
Morgane MC Fritz ◽  
Salomée Ruel ◽  
Andreas Kallmuenzer ◽  
Rainer Harms
2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 39-39
Author(s):  
Mark McCully

Abstract The role of the breed association has historically been to keep a registry of a pure breed, aggregate the performance data surrounding that one breed, develop breeding and selection tools, and conduct breed promotion. Larger associations have been able to augment that with operating magazines and other media, running branded beef programs, feeder calf marketing programs, and genetic evaluation for other breeds. The relevance of breed associations is being and will continue to be challenged as genomics and large commercial databases develop and allow for breeding and selection tools to be developed independently by large breeders or private entities. Gene editing and other such technology will also challenge the traditional seedstock models and opens the door for proprietary genetic lines. Breed associations may need to modify their traditional policies to incorporate these innovations. Supply chains will continue to become far more sophisticated and will incorporate more genetic information to guide management decisions and potentially validate brand promises around sustainability. To stay relevant, breed associations of the future will need to do the following: Balance the needs of diverse membership (show, hobby, lifestyle, etc.) with commercial industry value and significance. Have access to large amounts of data and be leaders in adopting the most current technologies. Deliver tools for breeders that enhance the profitability of commercial producers – identify optimum production levels vs maximum outputs. Work collaboratively with multiple supply chains providing the needed genetic information. Be a significant educational resource to breeders and commercial producers. Be a leader in research on breed improvement and genetic advancement. Have value-added programs that create real and sustained pull-through demand for the end product.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sachin Modgil ◽  
Shivam Gupta ◽  
Rébecca Stekelorum ◽  
Issam Laguir

PurposeCOVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.Design/methodology/approachWe adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.FindingsAn AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.Research limitations/implicationsAs the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.Practical implicationsSupply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.Originality/valueThe present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.


Author(s):  
Rachel T. A. Croson ◽  
Karen Lisa Donohue ◽  
Elena Katok ◽  
John Sterman
Keyword(s):  

2022 ◽  
Vol 11 (1) ◽  
Author(s):  
William A. Kerr ◽  
Jill E. Hobbs

Abstract Background On an individual level, food security has multiple dimensions and consumers exhibit heterogeneity in the extent to which different attributes matter in their quest for enhanced food security. The aim of this paper is to explain how the quest for individual food security arises and its dynamic nature and its implications for how food security-enhancing attributes are defined and how they are signaled, and for the role of regulators and food supply chains in establishing credible signals. Results The paper finds that the quest for enhanced individual food security is a dynamic process that responds to the disequilibrium that change brings. The changing role of standards and grades as signals in food markets is discussed as a precursor to considering the implications for both market and non-market (regulatory) failure in determining the appropriate role for the public sector in regulating food safety and quality standards and labeling. The rise of private standards is examined, along with a consideration of how these standards differ in terms of scope and objective and their implications for international trade in increasingly globalized food supply chains. Conclusions Despite the growth of private standards, a clear role remains for mandatory public standards, yet challenges arise when these standards differ across countries.


2021 ◽  
Author(s):  
Mounir Bensalem

The evolution towards Industry 4.0 is driving the need for innovative solutions in the area of network management, considering the complex, dynamic and heterogeneous nature of ICT supply chains. To this end, Intent-Based networking (IBN) which is already proven to evolve how network management is driven today, can be implemented as a solution to facilitate the management of large ICT supply chains. In this paper, we first present a comparison of the main architectural components of typical IBN systems and, then, we study the key engineering requirements when integrating IBN with ICT supply chain network systems while considering AI methods. We also propose a general architecture design that enables intent translation of ICT supply chain specifications into lower level policies, to finally show an example of how the access control is performed in a modeled ICT supply chain system.


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