{"doi":"10.4028/www.scientific.net/msf.471-472.563","title":"Simulation Diagnosis for the Bottleneck of Production Lines and Its Application","abstract":"<jats:p>Traditional bottleneck diagnosis of production lines mainly relies on the designer’s\nexperience, theoretical calculation or data analysis after practical system run. There are some disadvantages of the traditional bottleneck diagnosis for production lines. Using the virtual manufacturing technologies, a novel Simulation Diagnosis methodology about the Bottleneck of Production Lines (SDBPL) has been presented. With the proposed method, an existed production line is modeled, simulated and analyzed. Its bottleneck is quickly diagnosed by some ways such as\nvisual simulation results, cycle time, machine utilization and labor utilization. Results reveal that SDBPL can find the location of bottleneck in the practical production lines without wasting practical resource because the entire course of the diagnosis for bottleneck is implemented in virtual environment, and SDBPL is quicker than that of traditional methods as well.</jats:p>","journal":"Materials Science Forum","year":2004,"id":17224,"datarank":0.3631097969861271,"base_score":1.791759469228055,"endowment":1.791759469228055,"self_citation_contribution":0.26876392038420827,"citation_network_contribution":0.09434587660191886,"self_endowment_contribution":0.26876392038420827,"citer_contribution":0.09434587660191886,"corpus_percentile":null,"corpus_rank":null,"citation_count":5,"citer_count":3,"citers_with_citation_signal":3,"citers_with_endowment":3,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":123932,"name":"Zhan Qiang Liu","orcid":null,"position":1,"is_corresponding":false},{"id":123933,"name":"Pan Ling Huang","orcid":null,"position":2,"is_corresponding":false},{"id":123934,"name":"Xing Ai","orcid":null,"position":3,"is_corresponding":false},{"id":123935,"name":"Jian Xin Deng","orcid":null,"position":4,"is_corresponding":false},{"id":54294,"name":"Jun Zhou","orcid":"0000-0001-9914-6808","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":1.791759469228055,"endowment":1.791759469228055,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"21071399","pmcid":null,"openalex_id":"https://openalex.org/W2005241044","authors":[],"funders":[],"total_grants":0,"fwci":0.0,"citation_percentile":0.15889558,"influential_citations":0,"citation_trend":[{"year":2012,"count":1},{"year":2022,"count":1},{"year":2023,"count":2}],"oa_status":"closed","license":"https://www.scientific.net/PolicyAndEthics/PublishingPolicies","oa_locations":[{"url":"https://www.scientific.net/MSF.471-472.563.pdf","host_type":"publisher"},{"url":"https://doi.org/10.4028/www.scientific.net/msf.471-472.563","host_type":"book series"}],"fields_of_study":["Manufacturing Process and Optimization","Advanced Manufacturing and Logistics Optimization","Assembly Line Balancing Optimization","Engineering","Computer Science"],"mesh_terms":[],"keywords":["Bottleneck","Production line","Production (economics)","Computer science","Resource (disambiguation)","Line (geometry)","Industrial engineering","Real-time computing","Engineering","Embedded system","Mechanical engineering"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Decent work and economic growth"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-02T17:59:37.136493Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}