{"id":{"repo_id":"wichita-thes","oai_identifier":"oai:soar.wichita.edu:10057/13517"},"canonical_url":"https://search.dev.ndltd.org/etd/wichita-thes/oai:soar.wichita.edu:10057/13517","repository":{"repo_id":"wichita-thes","name":"Wichita State University","base_url":"https://soar.wichita.edu/oai/request"},"display":{"title":"Economic approach for determining the size of the time buffer in the theory of constrainst","abstract":"There is a growing need for models that can determine the time buffer (TB) in applications of the theory of constraints (TOC) for production control, in particular the drum-buffer-rope (DBR) and the simplified drum-buffer-rope (S-DBR) applications. Several recent studies have emphasized the importance of assigning appropriate buffer size to minimize the total manufacturing costs and ensure on-time delivery. In this research, a new model was developed for determining the size of the TB based on six process and cost parameters. The model was developed based on Taguchi’s loss function, and allows a tradeoff between capacity and delay losses in determining the buffer size. This provided the means for overcoming limitations of existing models while maintaining simplicity as an appealing feature for practitioners. A numerical example is included to illustrate the model’s applicability and highlight its advantages. In addition, statistical analysis was conducted to investigate model performance over a wide range of parameters. Results indicated that the model is most sensitive to changes in the processing time at the capacity-constrained resource (CCR) and the maximum delay that can be tolerated","abstract_html":"There is a growing need for models that can determine the time buffer (TB) in applications of the theory of constraints (TOC) for production control, in particular the drum-buffer-rope (DBR) and the simplified drum-buffer-rope (S-DBR) applications. Several recent studies have emphasized the importance of assigning appropriate buffer size to minimize the total manufacturing costs and ensure on-time delivery. In this research, a new model was developed for determining the size of the TB based on six process and cost parameters. The model was developed based on Taguchi’s loss function, and allows a tradeoff between capacity and delay losses in determining the buffer size. This provided the means for overcoming limitations of existing models while maintaining simplicity as an appealing feature for practitioners. A numerical example is included to illustrate the model’s applicability and highlight its advantages. In addition, statistical analysis was conducted to investigate model performance over a wide range of parameters. Results indicated that the model is most sensitive to changes in the processing time at the capacity-constrained resource (CCR) and the maximum delay that can be tolerated","abstract_has_math":false,"creators":["AlGhamdi, Faisal S."],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-12","date_published":"2016-12","updated_at":"2026-07-24T06:05:59Z","subjects":[],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["hdl:10057/13517"],"render_values":[{"text":"hdl:10057/13517","href":null,"code":true}]}]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.issued","label":"Date","values":["2016-12"]},{"key":"dc:type","label":"Dc Type","values":["Dissertation"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["hdl:10057/13517"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.other","label":"Dc Description Other","values":["There is a growing need for models that can determine the time buffer (TB) in applications of the theory of constraints (TOC) for production control, in particular the drum-buffer-rope (DBR) and the simplified drum-buffer-rope (S-DBR) applications. Several recent studies have emphasized the importance of assigning appropriate buffer size to minimize the total manufacturing costs and ensure on-time delivery. In this research, a new model was developed for determining the size of the TB based on six process and cost parameters. The model was developed based on Taguchi’s loss function, and allows a tradeoff between capacity and delay losses in determining the buffer size. This provided the means for overcoming limitations of existing models while maintaining simplicity as an appealing feature for practitioners. A numerical example is included to illustrate the model’s applicability and highlight its advantages. In addition, statistical analysis was conducted to investigate model performance over a wide range of parameters. Results indicated that the model is most sensitive to changes in the processing time at the capacity-constrained resource (CCR) and the maximum delay that can be tolerated"]},{"key":"dc:title","label":"Title","values":["Economic approach for determining the size of the time buffer in the theory of constrainst"]}]}],"canonical_facts":{"dc:date.issued":["2016-12"],"dc:description.other":["There is a growing need for models that can determine the time buffer (TB) in applications of the theory of constraints (TOC) for production control, in particular the drum-buffer-rope (DBR) and the simplified drum-buffer-rope (S-DBR) applications. Several recent studies have emphasized the importance of assigning appropriate buffer size to minimize the total manufacturing costs and ensure on-time delivery. In this research, a new model was developed for determining the size of the TB based on six process and cost parameters. The model was developed based on Taguchi’s loss function, and allows a tradeoff between capacity and delay losses in determining the buffer size. This provided the means for overcoming limitations of existing models while maintaining simplicity as an appealing feature for practitioners. A numerical example is included to illustrate the model’s applicability and highlight its advantages. In addition, statistical analysis was conducted to investigate model performance over a wide range of parameters. Results indicated that the model is most sensitive to changes in the processing time at the capacity-constrained resource (CCR) and the maximum delay that can be tolerated"],"dc:identifier":["hdl:10057/13517"],"dc:title":["Economic approach for determining the size of the time buffer in the theory of constrainst"],"dc:type":["Dissertation"]},"updated_at":"2026-07-24T06:05:59Z"}