[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-31806":3,"doc-seo-31806":27},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"file_id":15,"file_url":16,"file_type":17,"file_size":18,"view_count":4,"is_deleted":4,"is_public":19,"is_downloadable":19,"audit_status":19,"page_count":20,"language":21,"language_code":22,"table_of_contents":23,"faqs":24,"seo_title":13,"seo_description":14,"update_tm":25,"read_time":26},31806,687197207639,"Asher","https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd",8,"Research & Report","Joint Design of Control Chart, Production Cycle Length, and Maintenance Schedule for Imperfect Manufacturing Systems","Hybrid modeling integrates statistical process monitoring (SPM), production cycle length, and maintenance scheduling for imperfect manufacturing systems with both process and product deterioration. The framework introduces a nonuniform sampling strategy to set sampling intervals while avoiding exceeding a hazard-rate threshold. Stochastic shift magnitude is modeled for the mean quality characteristic. Effectiveness is evaluated through comparative studies and sensitivity analysis, showing large gains in in-control time ratio, cost savings, improved ARL metrics, fewer nonconforming items, reduced false-alarm risk, and lower total inventory holding cost via reduced deterioration costs.","cbCaia85Z020QkOD","https://ap.wps.com/l/cbCaia85Z020QkOD","pdf",851736,1,31,"English","en","# Introduction\n## Core problem: linking maintenance, production run length, and SPM\n## Related work: separate and paired integrations of the three concepts\n## Gap: limited concurrent analysis of all three concepts\n# Method Overview\n## Hybrid integration of SPM, cycle length, and maintenance schedule\n## Nonuniform sampling to respect hazard-rate thresholds\n## Stochastic shift size for quality-mean changes\n# Comparative Evaluation\n## Variable vs fixed sampling interval performance\n## Economic-statistical design vs standard statistical design\n## Inventory holding cost comparison under deterioration\n# Conclusions","[{\"question\":\"What three interrelated manufacturing topics does the proposed hybrid model integrate?\",\"answer\":\"The model integrates statistical process monitoring (SPM), production cycle length, and maintenance scheduling for imperfect production systems.\"},{\"question\":\"How does the approach handle deterioration in both the process and the products?\",\"answer\":\"It explicitly accounts for process deterioration that can drive the process out of control and product deterioration that evolves over time.\"},{\"question\":\"What is the role of the nonuniform sampling strategy in the model?\",\"answer\":\"The strategy determines sampling intervals to avoid exceeding a hazard-rate threshold value.\"}]",1780174858,78,{"code":4,"msg":28,"data":29},"ok",{"site_id":30,"language":22,"slug":31,"title":13,"keywords":32,"description":14,"schema_data":33,"social_meta":84,"head_meta":86,"extra_data":88,"updated_unix":25},105,"joint-design-of-control-chart-production-cycle-length-and-maintenance-schedule-for-imperfect-manufacturing-systems","",{"@graph":34,"@context":83},[35,52,66],{"@type":36,"itemListElement":37},"BreadcrumbList",[38,42,46,49],{"item":39,"name":40,"@type":41,"position":19},"https://docshare.wps.com","Home","ListItem",{"item":43,"name":44,"@type":41,"position":45},"https://docshare.wps.com/document/","Document",2,{"item":47,"name":12,"@type":41,"position":48},"https://docshare.wps.com/document/research-report/",3,{"item":50,"name":13,"@type":41,"position":51},"https://docshare.wps.com/document/joint-design-of-control-chart-production-cycle-length-and-maintenance-schedule-for-imperfect-manufacturing-systems/31806/",4,{"url":50,"name":13,"@type":53,"author":54,"headline":13,"publisher":56,"fileFormat":59,"description":14,"dateModified":60,"datePublished":60,"encodingFormat":59,"isAccessibleForFree":61,"interactionStatistic":62},"DigitalDocument",{"name":9,"@type":55},"Person",{"url":39,"name":57,"@type":58},"DocShare","Organization","application/pdf","2026-05-30",true,{"@type":63,"interactionType":64,"userInteractionCount":4},"InteractionCounter",{"@type":65},"ViewAction",{"@type":67,"mainEntity":68},"FAQPage",[69,75,79],{"name":70,"@type":71,"acceptedAnswer":72},"What three interrelated manufacturing topics does the proposed hybrid model integrate?","Question",{"text":73,"@type":74},"The model integrates statistical process monitoring (SPM), production cycle length, and maintenance scheduling for imperfect production systems.","Answer",{"name":76,"@type":71,"acceptedAnswer":77},"How does the approach handle deterioration in both the process and the products?",{"text":78,"@type":74},"It explicitly accounts for process deterioration that can drive the process out of control and product deterioration that evolves over time.",{"name":80,"@type":71,"acceptedAnswer":81},"What is the role of the nonuniform sampling strategy in the model?",{"text":82,"@type":74},"The strategy determines sampling intervals to avoid exceeding a hazard-rate threshold value.","https://schema.org",{"og:url":50,"og:type":85,"og:title":13,"og:site_name":57,"og:description":14},"article",{"robots":87,"canonical":50},"index,follow",{"doc_id":7,"site_id":30}]