Demand forecasting and inventory management as requirements for quality assurance in a bakery company

被引:0
|
作者
Menezes, Anderson Dias de [1 ]
Barros, Jose Glenio Medeiros de [1 ]
Fonseca, Bernardo Bastos da [1 ]
Aguilera, Maria Victoria Cabrera [1 ]
Sampaio, Nilo Antonio de Souza [1 ]
机构
[1] Univ Estado Rio De Janeiro UERJ, Met Engn, Rod Pres Dutra Km 298, Polo Ind, BR-27537000 Resende, RJ, Brazil
来源
REVISTA DE GESTAO E SECRETARIADO-GESEC | 2023年 / 14卷 / 09期
关键词
Inventory; Demand Forecasting; Management;
D O I
10.7769/gesec.v14i9.2832
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper is a case study on the influence of inventory management on the results and profitability of a bakery located in the municipality of Nova Iguacu, in the state of Rio de Janeiro. As a general objective, this study sought to identify the extent to which demand forecasting influences the inventory management of the bakery studied. To this end, the intermediate objectives were to evaluate how demand forecasting is applied, to verify how information on raw material stock levels is managed at the bakery and, finally, to report on how the adoption of a stock control methodology has a positive impact on the quality of service and the bakery's results. The theoretical reference research used a literature review as its methodology, but as far as the case study is concerned, local observations were made and a questionnaire was applied to the operation's manager, comprising ten discursive questions. Based on the analysis of the data collected, the results of the research made it clear how important it is to optimize stocks at the company in order to obtain better results and reduce freight costs, making it financially healthier and, consequently, increasing its profitability. To this end, the need for theoretical and technical knowledge, updating, integration of information, stock management strategy and investment in technologies and tools for stock control and management has become apparent.
引用
收藏
页码:15680 / 15693
页数:14
相关论文
共 50 条
  • [31] Fuzzy rule-based demand forecasting for dynamic pricing of a maritime company
    Cogun, Ozlem
    Ekinci, Yeliz
    Yanik, Seda
    KNOWLEDGE-BASED SYSTEMS, 2014, 70 : 88 - 96
  • [32] A Joint Decision Model of Variant Selection and Inventory Control Based on Demand Forecasting
    Gao Junjun
    Hu Yongping
    2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, 2008, : 362 - 367
  • [33] Demand forecasting application with regression and artificial intelligence methods in a construction machinery company
    Adnan Aktepe
    Emre Yanık
    Süleyman Ersöz
    Journal of Intelligent Manufacturing, 2021, 32 : 1587 - 1604
  • [34] A Joint Decision Model of Inventory Control and Promotion Optimization based on Demand Forecasting
    Gao Jun-jun
    Kang Ting
    2009 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS ( ICAL 2009), VOLS 1-3, 2009, : 119 - 123
  • [35] On the quality requirements of demand prediction for dynamic public transport
    Peled, Inon
    Lee, Kelvin
    Jiang, Yu
    Dauwels, Justin
    Pereira, Francisco C.
    COMMUNICATIONS IN TRANSPORTATION RESEARCH, 2021, 1
  • [36] Matching inventory and demand in a Fast Moving Consumer Goods company: A Decision Support System
    Framinan, Jose M.
    Guerrero, Francisco
    Perez-Gonzalez, Paz
    Toscano, Sonia
    COMPUTERS & INDUSTRIAL ENGINEERING, 2024, 194
  • [37] MANAGEMENT APPROACH TO THE ANALYSIS AND THE FORECASTING OF DEMAND IN THE HOME SAVINGS
    Sopta, Martina
    Tonkovic, Ivana
    ECONOMIC AND SOCIAL DEVELOPMENT, 2017, : 143 - 164
  • [38] Distributions of forecasting errors of forecast combinations: Implications for inventory management
    Barrow, Devon K.
    Kourentzes, Nikolaos
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2016, 177 : 24 - 33
  • [39] A Supply Chain Inventory Model with Imperfect Quality and Stochastic Demand
    Hamdani, Irfan Hilmi
    Jauhari, Wakhid Ahmad
    Khairina, Alifah
    PROCEEDING JOINT INTERNATIONAL CONFERENCE ON ELECTRIC VEHICULAR TECHNOLOGY AND INDUSTRIAL, MECHANICAL, ELECTRICAL, AND CHEMICAL ENGINEERING (ICEVT & IMECE), 2015, : 53 - 57
  • [40] Application of adaptive neuro fuzzy inference system in demand forecasting for power engineering company
    Kabir, Golam, 1600, Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland : 237 - 255