TY - CHAP
T1 - Comparing SMEs According to Industry 4.0 Adaptations for Mitigating the Bullwhip Effect
AU - Erdebilli, Babek
AU - Nacar, Emine Nur
AU - Gundogan, Mete
AU - Piya, Sujan
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - In supply chain management, the term “Industry 4.0” is gaining traction. Transparency across the supply chain and successful coordination between suppliers, manufacturers, distributors, wholesalers, retailers, and customers have been demonstrated to be critical. However, it is unavoidable that issues between supply chain firms would occur during the transfer of information from one stage to the next, resulting in negative effects for the whole chain. The issues emerging from the information flow between stakeholders result in improper planning, which makes it difficult to establish predictable systems and hence results in varying degrees of bullwhip effect. Industry 4.0 and its critical components, such as digitalization, system integration, big data analytics, and the Internet of Things (IoT), are critical for smart factories and hold the potential of resolving this issue. In this study, four suppliers which were selected from the automotive, food, furniture, and textile sectors were identified. Then, the potential of the data flow to reduce the bullwhip effect on a sectoral basis will be demonstrated. To evaluate these sectors, eleven criteria in four dimensions including capacity sharing and out-of-stock decisions, demand signal processing, price fluctuation, and order merge were selected.
AB - In supply chain management, the term “Industry 4.0” is gaining traction. Transparency across the supply chain and successful coordination between suppliers, manufacturers, distributors, wholesalers, retailers, and customers have been demonstrated to be critical. However, it is unavoidable that issues between supply chain firms would occur during the transfer of information from one stage to the next, resulting in negative effects for the whole chain. The issues emerging from the information flow between stakeholders result in improper planning, which makes it difficult to establish predictable systems and hence results in varying degrees of bullwhip effect. Industry 4.0 and its critical components, such as digitalization, system integration, big data analytics, and the Internet of Things (IoT), are critical for smart factories and hold the potential of resolving this issue. In this study, four suppliers which were selected from the automotive, food, furniture, and textile sectors were identified. Then, the potential of the data flow to reduce the bullwhip effect on a sectoral basis will be demonstrated. To evaluate these sectors, eleven criteria in four dimensions including capacity sharing and out-of-stock decisions, demand signal processing, price fluctuation, and order merge were selected.
KW - Bullwhip effect
KW - Fuzzy
KW - Industry 4.0
KW - Supply chain
KW - İntuitionistic
UR - http://www.scopus.com/inward/record.url?scp=85139071859&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85139071859&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-98872-2_10
DO - 10.1007/978-3-030-98872-2_10
M3 - Chapter
AN - SCOPUS:85139071859
T3 - Multiple Criteria Decision Making
SP - 151
EP - 166
BT - Multiple Criteria Decision Making
PB - Springer Science and Business Media Deutschland GmbH
ER -