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001468226 001__ 1468226
001468226 003__ OCoLC
001468226 005__ 20230707003400.0
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001468226 008__ 230526s2023\\\\si\a\\\\o\\\\\100\0\eng\d
001468226 019__ $$a1379832251
001468226 020__ $$a9789811980121$$q(electronic bk.)
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001468226 0247_ $$a10.1007/978-981-19-8012-1$$2doi
001468226 035__ $$aSP(OCoLC)1380366309
001468226 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX
001468226 049__ $$aISEA
001468226 050_4 $$aT57.6
001468226 08204 $$a658.4/034$$223/eng/20230526
001468226 1102_ $$aOperational Research Society of India.$$bConference$$n(54th),$$ecreator.
001468226 24510 $$aApplications of operational research in business and industries :$$bproceedings of 54th Annual Conference of ORSI /$$cAngappa Gunasekaran, Jai Kishore Sharma, Samarjit Kar, editors.
001468226 2463_ $$aAnnual Conference of ORSI
001468226 264_1 $$aSingapore :$$bSpringer,$$c2023.
001468226 300__ $$a1 online resource (454 pages) :$$billustrations (black and white, and color).
001468226 336__ $$atext$$btxt$$2rdacontent
001468226 337__ $$acomputer$$bc$$2rdamedia
001468226 338__ $$aonline resource$$bcr$$2rdacarrier
001468226 4901_ $$aLecture notes in operations research
001468226 500__ $$aConference proceedings.
001468226 5050_ $$aChapter 1: Optimization of an inventory model with demand dependent on selling price and stock, nonlinear holding cost along with trade credit policy -- Chapter 2: Software Defect Prediction Through a Hybrid Approach Comprising of a Statistical Tool and a Machine Learning Model -- Chapter 3: Conservation of a prey species through optimal taxation: a model with Beddington-DeAngelis Functional Response -- Chapter 4: Investigate the reason for students' absenteeism in Engineering College in Fuzzy MCDM environment -- Chapter 5: Optimal inventory management policies for substitutable products considering non-instantaneous decay and cost of substitution.
001468226 506__ $$aAccess limited to authorized users.
001468226 520__ $$aEffective decision-making while trading off the constraints and conflicting multiple objectives under rapid technological developments, massive generation of data, and extreme volatility is of paramount importance to organizations to win over the time-based competition today. While agility is a crucial issue, the firms have been increasingly relying on evidence-based decision-making through intelligent decision support systems driven by computational intelligence and automation to achieve a competitive advantage. The decisions are no longer confined to a specific functional area. Instead, business organizations today find actionable insight for formulating future courses of action by integrating multiple objectives and perspectives. Therefore, multi-objective decision-making plays a critical role in businesses and industries. In this regard, the importance of Operations Research (OR) models and their applications enables the firms to derive optimum solutions subject to various constraints and/or objectives while considering multiple functional areas of the organizations together. Hence, researchers and practitioners have extensively applied OR models to solve various organizational issues related to manufacturing, service, supply chain and logistics management, human resource management, finance, and market analysis, among others. Further, OR models driven by AI have been enabled to provide intelligent decision-support frameworks for achieving sustainable development goals. The present issue provides a unique platform to showcase the contributions of the leading international experts on production systems and business from academia, industry, and government to discuss the issues in intelligent manufacturing, operations management, financial management, supply chain management, and Industry 4.0 in the Artificial Intelligence era. Some of the general (but not specific) scopes of this proceeding entail OR models such as Optimization and Control, Combinatorial Optimization, Queuing Theory, Resource Allocation Models, Linear and Nonlinear Programming Models, Multi-objective and multi-attribute Decision Models, Statistical Quality Control along with AI, Bayesian Data Analysis, Machine Learning and Econometrics and their applications vis--vis AI & Data-driven Production Management, Marketing and Retail Management, Financial Management, Human Resource Management, Operations Management, Smart Manufacturing & Industry 4.0, Supply Chain and Logistics Management, Digital Supply Network, Healthcare Administration, Inventory Management, consumer behavior, security analysis, and portfolio management and sustainability. The present issue shall be of interest to the faculty members, students, and scholars of various engineering and social science institutions and universities, along with the practitioners and policymakers of different industries and organizations.
001468226 588__ $$aDescription based on print version record.
001468226 650_0 $$aOperations research$$vCongresses.
001468226 650_0 $$aDecision making$$vCongresses.
001468226 655_0 $$aElectronic books.
001468226 7001_ $$aGunasekaran, A.,$$eeditor.$$1https://isni.org/isni/0000000384280777
001468226 7001_ $$aSharma, Jai Kishore,$$eeditor.
001468226 7001_ $$aKar, Samarjit,$$eeditor.$$1https://isni.org/isni/0000000120148369
001468226 77608 $$iPrint version:$$aOperational Research Society of India. Conference (54th).$$tApplications of operational research in business and industries.$$dSingapore : Springer Nature Singapore, 2023$$z9789811980114$$w(OCoLC)1368271398
001468226 830_0 $$aLecture notes in operations research.
001468226 852__ $$bebk
001468226 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-8012-1$$zOnline Access$$91397441.1
001468226 909CO $$ooai:library.usi.edu:1468226$$pGLOBAL_SET
001468226 980__ $$aBIB
001468226 980__ $$aEBOOK
001468226 982__ $$aEbook
001468226 983__ $$aOnline
001468226 994__ $$a92$$bISE