Results 41 to 50 of about 413 (181)
Discrete Dynamics in Nature and Society, Volume 2026, Issue 1, 2026.With transportation and inventory in logistics being major sources of carbon emissions driving global warming, enterprises face pressing needs to curb their carbon footprint through integrated inventory‐transportation optimization and voluntary emission reduction (VER) efforts. This study addresses the core issue of strategic‐level integrated inventory‐
Caihong Liu +4 more
wiley +1 more source
Journal of Management Small and Medium Enterprises (SME's), 2020 This research will focus on the controlling of raw materials supply to expedite the production process. This study aims to determine and analyze the optimization of raw material supplies in the Dwi Jaya Bakery Kupang.
Yohanes M M Taek Bete +2 more
doaj +1 more source
EOQ MODEL FOR DETERIORATING AND AMELIORATING ITEMS UNDER CUBIC DEMAND AND PARTIAL BACKLOGGING
Barekeng, 2023 The inventory model aims to determine policies in inventory control. Therefore, the availability needs to be managed as well as possible to obtain optimal performance.
Hafizha Nur Laily +2 more
doaj +1 more source
Aplikasi Manajemen Persediaan Barang Berbasis Economic Order Quantity (EOQ)
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 2017 Inventory management is an activity undertaken by a company that is needed in making decisions so that the need for materials or goods for the purposes of the company's activities both production and sales can be met optimally with the least risk possible.
Taufiq Iqbal +2 more
openaire +2 more sources
Fuzzy Inventory Model for Noninstantaneous Deteriorating Items With Delay Differentiation Process
Discrete Dynamics in Nature and Society, Volume 2026, Issue 1, 2026.In this article, we have devised an inventory model tailored for noninstantaneous deteriorating items, with an emphasis on partially backlogged shortages. In addition, the deterioration rate is considered to be inversely proportional to the length of the waiting time. Inventory costs cannot always be considered static or dynamic. In certain situations,
M. Prabha +3 more
wiley +1 more source
Improvements to Disassembly Lot Sizing With Task Control Through Reinforcement Learning
Journal of Advanced Manufacturing and Processing, Volume 7, Issue 4, October 2025.ABSTRACT This research presents a novel methodology to control disassembly tasks for cost‐efficient component recovery from end‐of‐life products, fostering remanufacturing. Inventory management is an integral part of systems that assemble or disassemble products.
Sachini Weerasekara +3 more
wiley +1 more source
A Revision on Cost Elements of the EOQ Model
Studies in Business and Economics, 2016 The overall objective of this paper is to investigate the fundamental cost elements of the traditional EOQ model and develop the model by expiring some of its unrealistic assumptions. Over the last few decades, there have been numerous studies developing
Asadabadi Mehdi Rajabi
doaj +1 more source
Jurnal Agro Industri Perkebunan, 2019 Inventory is an important thing for the industrial company, so determination of order quantity must be done optimally and reduce the inventory cost. PT Keong Nusantara Abadi is an industrial company for processing of nata de coco that requires an ...
Shella Puji Pangesti +2 more
doaj +1 more source
Inventory Of Goods Data Processing Using The Economic Order Quantity (Eoq) Method
Journal of Physics: Conference Series, 2020 Abstract Sriwijaya State Polytechnic (Polsri) which is one of the State Education Institutions in South Sumatra has Diploma III and Diploma IV programs. Currently, it has 23 Study Programs from 9 majors both in the engineering and non-engineering fields.
Hetty Meileni +4 more
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Teaching data‐driven decision making for inventory analysis with Monte Carlo simulation
Decision Sciences Journal of Innovative Education, Volume 23, Issue 1, January 2025.Abstract Inventory management and the ability to make data‐driven decisions under uncertainty are two critical components of supply chain management. This brief describes how an Excel‐based Monte Carlo simulation of fuel and lottery purchases can be used to teach students to analyze a system with randomness.
Alan Pritchard +2 more
wiley +1 more source