{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:XT5SBN7LW47M25RNJGA6BS7NBO","short_pith_number":"pith:XT5SBN7L","schema_version":"1.0","canonical_sha256":"bcfb20b7ebb73ecd762d4981e0cbed0bb2f46cb7efdf055c0965a628d393fc09","source":{"kind":"arxiv","id":"1501.07141","version":1},"attestation_state":"computed","paper":{"title":"Matching Supply and Demand in Production-Inventory Systems: Asymptotics and Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.PR"],"primary_cat":"math.OC","authors_text":"David D. Yao, Mark S. Squillante, Yingdong Lu","submitted_at":"2015-01-28T15:20:50Z","abstract_excerpt":"We consider a general class of high-volume, fast-moving production-inventory systems based on both lost-sales and backorder inventory models. Such systems require a fundamental understanding of the asymptotic behavior of key performance measures under various supply strategies, as well as the pre-planning of these strategies. Our analysis relies on a thorough study of the asymptotic behavior of a random walk with power drift, which is of independent interest. In addition to providing key insights, our analysis leads to approximations of the corresponding optimization problem that yield simple "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1501.07141","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2015-01-28T15:20:50Z","cross_cats_sorted":["math.PR"],"title_canon_sha256":"192cc5cc8a2a97e6c4173739ebf7cdc02a79595841891f002d3393d46e2381e7","abstract_canon_sha256":"a52191e1075f4583fcb5991d5eaa79f3b01e7bd75707a2f29c031519767622f4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:28:30.106162Z","signature_b64":"n6fzP8bvTSRlAhi9aqn9nvA6FJVHi7NeZjm8+Jiaq1jzbybp0Djob5hNrxZbxcq7s+23fijABJMHuYORloy0Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bcfb20b7ebb73ecd762d4981e0cbed0bb2f46cb7efdf055c0965a628d393fc09","last_reissued_at":"2026-05-18T02:28:30.105503Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:28:30.105503Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Matching Supply and Demand in Production-Inventory Systems: Asymptotics and Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.PR"],"primary_cat":"math.OC","authors_text":"David D. Yao, Mark S. Squillante, Yingdong Lu","submitted_at":"2015-01-28T15:20:50Z","abstract_excerpt":"We consider a general class of high-volume, fast-moving production-inventory systems based on both lost-sales and backorder inventory models. Such systems require a fundamental understanding of the asymptotic behavior of key performance measures under various supply strategies, as well as the pre-planning of these strategies. Our analysis relies on a thorough study of the asymptotic behavior of a random walk with power drift, which is of independent interest. In addition to providing key insights, our analysis leads to approximations of the corresponding optimization problem that yield simple "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1501.07141","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1501.07141","created_at":"2026-05-18T02:28:30.105610+00:00"},{"alias_kind":"arxiv_version","alias_value":"1501.07141v1","created_at":"2026-05-18T02:28:30.105610+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1501.07141","created_at":"2026-05-18T02:28:30.105610+00:00"},{"alias_kind":"pith_short_12","alias_value":"XT5SBN7LW47M","created_at":"2026-05-18T12:29:50.041715+00:00"},{"alias_kind":"pith_short_16","alias_value":"XT5SBN7LW47M25RN","created_at":"2026-05-18T12:29:50.041715+00:00"},{"alias_kind":"pith_short_8","alias_value":"XT5SBN7L","created_at":"2026-05-18T12:29:50.041715+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XT5SBN7LW47M25RNJGA6BS7NBO","json":"https://pith.science/pith/XT5SBN7LW47M25RNJGA6BS7NBO.json","graph_json":"https://pith.science/api/pith-number/XT5SBN7LW47M25RNJGA6BS7NBO/graph.json","events_json":"https://pith.science/api/pith-number/XT5SBN7LW47M25RNJGA6BS7NBO/events.json","paper":"https://pith.science/paper/XT5SBN7L"},"agent_actions":{"view_html":"https://pith.science/pith/XT5SBN7LW47M25RNJGA6BS7NBO","download_json":"https://pith.science/pith/XT5SBN7LW47M25RNJGA6BS7NBO.json","view_paper":"https://pith.science/paper/XT5SBN7L","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1501.07141&json=true","fetch_graph":"https://pith.science/api/pith-number/XT5SBN7LW47M25RNJGA6BS7NBO/graph.json","fetch_events":"https://pith.science/api/pith-number/XT5SBN7LW47M25RNJGA6BS7NBO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XT5SBN7LW47M25RNJGA6BS7NBO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XT5SBN7LW47M25RNJGA6BS7NBO/action/storage_attestation","attest_author":"https://pith.science/pith/XT5SBN7LW47M25RNJGA6BS7NBO/action/author_attestation","sign_citation":"https://pith.science/pith/XT5SBN7LW47M25RNJGA6BS7NBO/action/citation_signature","submit_replication":"https://pith.science/pith/XT5SBN7LW47M25RNJGA6BS7NBO/action/replication_record"}},"created_at":"2026-05-18T02:28:30.105610+00:00","updated_at":"2026-05-18T02:28:30.105610+00:00"}