Multi resource inventory automatic coordination model of Supply Chain Based on Artificial Intelligence

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.

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Integrated Supply Chain Contract Model With Drop-Shipper Players

Jurnal Teknik Industri ◽

10.22219/jtiumm.vol19.no1.58-72 ◽

2018 ◽

Vol 19 (1) ◽

pp. 58

Author(s):

Faisal Ibrahim

Keyword(s):

Supply Chain ◽

Chain Model ◽

Actual System ◽

Supply Chain System ◽

Supply Chain Contract ◽

Total Cost ◽

Chain System ◽

Coordination Model ◽

Supply Chain Model ◽

Integrated Supply Chain

In this paper, we developed model integrated supply chain model with drop-shipper players. The aim of the study is to integrate players in the supply chain system that one of its players is a drop shipper. This coordination model considers the policy of late payment and prosecution for delivery of goods. Previous, The author has described the supply chain system in detail. The experiments were conducted into different case scenarios, where each scenario would represent the actual system that occurred. Then also conducted sensitivity analysis on some predicted variables significantly influence the total cost of the supply chain. From the results obtained, it can be concluded that coordination with consideration of delay in payment and penalty contract for drop ship has successfully integrated the players in the supply chain system under study. This can be proved by the lower total cost of the supply chain when it is integrated with that consideration.

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Measuring Digital Transformation Maturity of Supply Chain

Tehnički glasnik ◽

10.31803/tg-20200414191933 ◽

2021 ◽

Vol 15 (2) ◽

pp. 199-204

Author(s):

Krešimir Buntak ◽

Matija Kovačić ◽

Maja Mutavdžija

Keyword(s):

Artificial Intelligence ◽

Cloud Computing ◽

Supply Chain ◽

Industry 4.0 ◽

Digital Transformation ◽

Strategic Decision ◽

Traditional Practices ◽

Long Run ◽

Efficiency And Effectiveness ◽

Different Levels

Digital transformation signifies changes in all components and systems of the supply chain. It is also a strategic decision of the organization which, in the long run, can result in the creation of competitive advantage in the market. Digital transformation is affecting all organizations, regardless of their activity. Digital transformation of the supply chain involves the use of industry 4.0 based technologies as well as the replacement of traditional practices with new ones based on digital solutions. The implementation of digital solutions, such as artificial intelligence, IoT, cloud computing, etc., therefore, improve communication between stakeholders in the supply chain, as well as improve efficiency and effectiveness. When conducted, digital transformation must be measured by different levels of maturity. In this paper, authors research current models of measuring digital transformation maturity in supply chain and propose a new model based on identified theories and needs.

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Oportunidades para la transformación digital de la cadena de suministro del sector bananero basado en software con inteligencia artificial

Revista Politécnica ◽

10.33571/rpolitec.v17n33a4 ◽

2021 ◽

Vol 17 (33) ◽

pp. 47-63

Author(s):

Isabel Cristina Arango-Palacio

Keyword(s):

Artificial Intelligence ◽

Supply Chain ◽

Competitive Advantage ◽

Sources Of Information ◽

Intelligent Software ◽

Searching Method

La inteligencia artificial ofrece grandes oportunidades para la cadena de suministro, siendo esto una ventaja competitiva para el mercado cambiante de hoy en día. Este artículo tiene como objetivo identificar los impactos y oportunidades que puede ofrecer el software con inteligencia artificial para facilitar la operación y mejorar el desempeño de la cadena de suministro en el sector bananero de Colombia. La metodología de trabajo consta de seis pasos en donde se obtuvo un total de 72 investigaciones. Las fuentes de información fueron cuatro bases de datos. Como conclusión principal, la cadena de suministro del sector bananero tiene todo lo necesario para que se implementen soluciones basadas en software inteligente con el fin de lograr una adaptación, flexibilidad y sensibilidad al contexto y dominio de ejecución. Artificial intelligence offers great opportunities for the supply chain, making it a competitive advantage for today's changing market. This paper aims to identify the impacts and opportunities that artificial intelligence software can offer to supply chain in the Colombian banana sector to facilitate the operation and improve the performance. The searching method consists of six steps getting 72 investigations finally. The sources of information were four databases. The main conclusion is the supply chain of the banana sector has everything for implementation of solutions based on intelligent software in order to achieve adaptation, flexibility and context awarenes and execution domain.

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