Unraveling Behavioral Ordering: Relative Costs and the Bullwhip Effect
Problem definition: We study the bullwhip effect and analyze the impact of human behavior. We separate rational ordering in response to increasing incoming orders from irrational ordering. Academic/practical relevance: Prior research has shown that the bullwhip effect occurs in about two-thirds of f...
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Veröffentlicht in: | Manufacturing & service operations management 2022-05, Vol.24 (3), p.1733-1750 |
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description | Problem definition:
We study the bullwhip effect and analyze the impact of human behavior. We separate rational ordering in response to increasing incoming orders from irrational ordering.
Academic/practical relevance:
Prior research has shown that the bullwhip effect occurs in about two-thirds of firms and impacts profitability by 10%–30%. Most bullwhip mitigation efforts emphasize processes such as information sharing, collaboration, and coordination. Previous work has not been able to separate the impact of behavioral ordering from rational increases in order quantities.
Methodology:
Using data from a laboratory experiment, we estimate behavioral parameters from three ordering models. We use a simulation to evaluate the cost impact of bullwhip behavior on the supply chain and by echelon.
Results:
We find that cost increases are not equally shared. Human biases (behavioral ordering) at the retailer results in higher relative costs elsewhere in the supply chain, even as similar ordering by a wholesaler, distributor, or factory results in increased costs within that echelon. These results are consistent regardless of the behavioral models that we consider. The cognitive profile of the decision maker impacts both echelon and supply chain costs. We show that the cost impact is higher as more decision makers enter a supply chain.
Managerial implications:
The cost of behavioral ordering is not consistent across the supply chain. Managers can use the estimation/simulation framework to analyze the impact of human behavior in their supply chains and evaluate improvement efforts such as coordination or information sharing. Our results show that behavioral ordering by a retailer has an out-sized impact on supply chain costs, which suggests that upstream echelons are better placed to make forecasting and replenishment decisions. |
doi_str_mv | 10.1287/msom.2021.1030 |
format | Article |
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We study the bullwhip effect and analyze the impact of human behavior. We separate rational ordering in response to increasing incoming orders from irrational ordering.
Academic/practical relevance:
Prior research has shown that the bullwhip effect occurs in about two-thirds of firms and impacts profitability by 10%–30%. Most bullwhip mitigation efforts emphasize processes such as information sharing, collaboration, and coordination. Previous work has not been able to separate the impact of behavioral ordering from rational increases in order quantities.
Methodology:
Using data from a laboratory experiment, we estimate behavioral parameters from three ordering models. We use a simulation to evaluate the cost impact of bullwhip behavior on the supply chain and by echelon.
Results:
We find that cost increases are not equally shared. Human biases (behavioral ordering) at the retailer results in higher relative costs elsewhere in the supply chain, even as similar ordering by a wholesaler, distributor, or factory results in increased costs within that echelon. These results are consistent regardless of the behavioral models that we consider. The cognitive profile of the decision maker impacts both echelon and supply chain costs. We show that the cost impact is higher as more decision makers enter a supply chain.
Managerial implications:
The cost of behavioral ordering is not consistent across the supply chain. Managers can use the estimation/simulation framework to analyze the impact of human behavior in their supply chains and evaluate improvement efforts such as coordination or information sharing. Our results show that behavioral ordering by a retailer has an out-sized impact on supply chain costs, which suggests that upstream echelons are better placed to make forecasting and replenishment decisions.</description><identifier>ISSN: 1523-4614</identifier><identifier>EISSN: 1526-5498</identifier><identifier>DOI: 10.1287/msom.2021.1030</identifier><language>eng</language><publisher>Linthicum: INFORMS</publisher><subject>Behavior ; behavioral operations ; Behavioral psychology ; Bias ; bullwhip effect ; Costs ; Decision making ; Information sharing ; inventory management ; simulation ; Supply chain management ; Supply chains</subject><ispartof>Manufacturing & service operations management, 2022-05, Vol.24 (3), p.1733-1750</ispartof><rights>Copyright Institute for Operations Research and the Management Sciences May/Jun 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-a20ac27f7c2cf165e6ba35f86dd2f34118c3866113326d95388ae210031fb26d3</citedby><cites>FETCH-LOGICAL-c375t-a20ac27f7c2cf165e6ba35f86dd2f34118c3866113326d95388ae210031fb26d3</cites><orcidid>0000-0003-1690-770X ; 0000-0002-0456-5135 ; 0000-0001-5680-7477</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://pubsonline.informs.org/doi/full/10.1287/msom.2021.1030$$EHTML$$P50$$Ginforms$$H</linktohtml><link.rule.ids>314,776,780,3679,27901,27902,62589</link.rule.ids></links><search><creatorcontrib>Moritz, Brent B</creatorcontrib><title>Unraveling Behavioral Ordering: Relative Costs and the Bullwhip Effect</title><title>Manufacturing & service operations management</title><description>Problem definition:
We study the bullwhip effect and analyze the impact of human behavior. We separate rational ordering in response to increasing incoming orders from irrational ordering.
Academic/practical relevance:
Prior research has shown that the bullwhip effect occurs in about two-thirds of firms and impacts profitability by 10%–30%. Most bullwhip mitigation efforts emphasize processes such as information sharing, collaboration, and coordination. Previous work has not been able to separate the impact of behavioral ordering from rational increases in order quantities.
Methodology:
Using data from a laboratory experiment, we estimate behavioral parameters from three ordering models. We use a simulation to evaluate the cost impact of bullwhip behavior on the supply chain and by echelon.
Results:
We find that cost increases are not equally shared. Human biases (behavioral ordering) at the retailer results in higher relative costs elsewhere in the supply chain, even as similar ordering by a wholesaler, distributor, or factory results in increased costs within that echelon. These results are consistent regardless of the behavioral models that we consider. The cognitive profile of the decision maker impacts both echelon and supply chain costs. We show that the cost impact is higher as more decision makers enter a supply chain.
Managerial implications:
The cost of behavioral ordering is not consistent across the supply chain. Managers can use the estimation/simulation framework to analyze the impact of human behavior in their supply chains and evaluate improvement efforts such as coordination or information sharing. Our results show that behavioral ordering by a retailer has an out-sized impact on supply chain costs, which suggests that upstream echelons are better placed to make forecasting and replenishment decisions.</description><subject>Behavior</subject><subject>behavioral operations</subject><subject>Behavioral psychology</subject><subject>Bias</subject><subject>bullwhip effect</subject><subject>Costs</subject><subject>Decision making</subject><subject>Information sharing</subject><subject>inventory management</subject><subject>simulation</subject><subject>Supply chain management</subject><subject>Supply chains</subject><issn>1523-4614</issn><issn>1526-5498</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFkMFLwzAUh4MoOKdXzwHPrXlJm2be3NhUGAzEnUOWJq6jbWbSTvzvTa3g0dN7PL7f78GH0C2QFKgo7pvgmpQSCikQRs7QBHLKkzybifOfnSUZh-wSXYVwIISAIHSCVtvWq5Opq_Ydz81enSrnVY03vjQ-3h7wq6lVV50MXrjQBazaEnd7g-d9XX_uqyNeWmt0d40urKqDufmdU7RdLd8Wz8l68_SyeFwnmhV5lyhKlKaFLTTVFnhu-E6x3ApeltSyDEBoJjgHYIzycpYzIZShQAgDu4sXNkV3Y-_Ru4_ehE4eXO_b-FJSXhQkjxU8UulIae9C8MbKo68a5b8kEDm4koMrObiSg6sYwGPAaNdW4Q8XZJbFYgYRSUakaq3zTfiv8hsEOnS9</recordid><startdate>20220501</startdate><enddate>20220501</enddate><creator>Moritz, Brent B</creator><general>INFORMS</general><general>Institute for Operations Research and the Management Sciences</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-1690-770X</orcidid><orcidid>https://orcid.org/0000-0002-0456-5135</orcidid><orcidid>https://orcid.org/0000-0001-5680-7477</orcidid></search><sort><creationdate>20220501</creationdate><title>Unraveling Behavioral Ordering: Relative Costs and the Bullwhip Effect</title><author>Moritz, Brent B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-a20ac27f7c2cf165e6ba35f86dd2f34118c3866113326d95388ae210031fb26d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Behavior</topic><topic>behavioral operations</topic><topic>Behavioral psychology</topic><topic>Bias</topic><topic>bullwhip effect</topic><topic>Costs</topic><topic>Decision making</topic><topic>Information sharing</topic><topic>inventory management</topic><topic>simulation</topic><topic>Supply chain management</topic><topic>Supply chains</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moritz, Brent B</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><jtitle>Manufacturing & service operations management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Moritz, Brent B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Unraveling Behavioral Ordering: Relative Costs and the Bullwhip Effect</atitle><jtitle>Manufacturing & service operations management</jtitle><date>2022-05-01</date><risdate>2022</risdate><volume>24</volume><issue>3</issue><spage>1733</spage><epage>1750</epage><pages>1733-1750</pages><issn>1523-4614</issn><eissn>1526-5498</eissn><abstract>Problem definition:
We study the bullwhip effect and analyze the impact of human behavior. We separate rational ordering in response to increasing incoming orders from irrational ordering.
Academic/practical relevance:
Prior research has shown that the bullwhip effect occurs in about two-thirds of firms and impacts profitability by 10%–30%. Most bullwhip mitigation efforts emphasize processes such as information sharing, collaboration, and coordination. Previous work has not been able to separate the impact of behavioral ordering from rational increases in order quantities.
Methodology:
Using data from a laboratory experiment, we estimate behavioral parameters from three ordering models. We use a simulation to evaluate the cost impact of bullwhip behavior on the supply chain and by echelon.
Results:
We find that cost increases are not equally shared. Human biases (behavioral ordering) at the retailer results in higher relative costs elsewhere in the supply chain, even as similar ordering by a wholesaler, distributor, or factory results in increased costs within that echelon. These results are consistent regardless of the behavioral models that we consider. The cognitive profile of the decision maker impacts both echelon and supply chain costs. We show that the cost impact is higher as more decision makers enter a supply chain.
Managerial implications:
The cost of behavioral ordering is not consistent across the supply chain. Managers can use the estimation/simulation framework to analyze the impact of human behavior in their supply chains and evaluate improvement efforts such as coordination or information sharing. Our results show that behavioral ordering by a retailer has an out-sized impact on supply chain costs, which suggests that upstream echelons are better placed to make forecasting and replenishment decisions.</abstract><cop>Linthicum</cop><pub>INFORMS</pub><doi>10.1287/msom.2021.1030</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0003-1690-770X</orcidid><orcidid>https://orcid.org/0000-0002-0456-5135</orcidid><orcidid>https://orcid.org/0000-0001-5680-7477</orcidid></addata></record> |
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subjects | Behavior behavioral operations Behavioral psychology Bias bullwhip effect Costs Decision making Information sharing inventory management simulation Supply chain management Supply chains |
title | Unraveling Behavioral Ordering: Relative Costs and the Bullwhip Effect |
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