Forecasting in Enterprise Resource Planning (ERP) Systems: A Survey

ElMadany, Hassan; Alfonse, Marco; Aref, Mostafa

doi:10.1007/978-981-16-2275-5_24

Cited by 4 publications

(5 citation statements)

References 4 publications

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“…Forecasting can help organizations anticipate potential challenges and opportunities and make informed decisions about how to allocate resources to achieve their goals. Furthermore, effective forecasting in a digital context requires access to real-time data, advanced analytics tools, and expertise in emerging technologies (ElMadany et al, 2022). Using these tools and methods, organizations can make more accurate predictions about customer behavior, market trends, and industry developments.…”

Section: Management Functions In the Context Of Digital Transformationmentioning

confidence: 99%

Digital Transformation Impact on Organization Management and Several Necessary Protective Actions

Banciu¹,

Vevera²,

POPA³

2023

SIC

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The paper presents the impact of the digital transformation on organizations. It outlines the specific details of management functions and protective actions with particular emphasis on information security. The management function is analyzed thought digital transformation pillars and the primary activities that managers perform in order to achieve organizational goals. The key management functions (foresight, planning, organizing, leading, and controlling) are interrelated and interdependent, and effective management requires a balanced approach to all including management of cybersecurity procedures. The paper underlines the main function of cybersecurity management in connection with fundamental management function. The paper also briefly describes the main cybersecurity procedures.

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Section: Management Functions In the Context Of Digital Transformationmentioning

confidence: 99%

Digital Transformation Impact on Organization Management and Several Necessary Protective Actions

Banciu¹,

Vevera²,

POPA³

2023

SIC

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“…These rules can represent policy agreements or definitions related to the criteria applied by organizations in their interactions with customers, partners, or employees, typically expressed in natural language. Additionally, a decision table can be utilized to describe a set of interconnected decision rules using the "If-Then" structure [23].…”

Section: Related Workmentioning

confidence: 99%

A Petri Net Approach for Business Process Modeling and Simulation

Medina-Garcia,

Medina-Marin,

Montaño-Arango

et al. 2023

Applied Sciences

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A business process is a set of activities executed in a specific sequence involving various actors. This relationship between actors, activities, and sequence is crucial for achieving the goals and objectives of organizations. Business process modeling involves determining the actors, activities, and execution sequence necessary to accomplish the organization’s objectives, permitting analysis of the overall process in order to identify and rectify potential failures, improve operations, or eliminate activities that do not generate value. In this study, Petri nets have been selected as the modeling tool due to their ability to provide graphical and mathematical representations of business processes, which offers a significant advantage over other tools. The objective of this research is to develop a BP modeling algorithm using Petri nets. It aims to simulate the behavior of each activity within a case study in which the mathematical representation of Petri nets is utilized to measure process performance. Additionally, a software artifact is created to assess the algorithm’s functionality and compare the performance of two different business process that share the same goal.

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“…Most technologically advanced companies use ERP (Enterprise Resource Planning) and APS (Advances Planning and Scheduling) systems to manage planning and scheduling. The largest IT systems of this type, such as SAP, IFS, SYSPRO, Oracle, Microsoft, Asprova, provide only basic forecasting methods, such as [4][5][6]25 • and, some of them, ARIMA.…”

Section: Demand Forecasting In Mass Customization Productionmentioning

confidence: 99%

“…A survey of popular methods can be found among the others in Refs. [4][5][6]. The purpose of this functionality is the reduction of safety stocks and optimization of inventory replenishment [7,8].…”

Section: Introductionmentioning

confidence: 99%

Implementation of Demand Forecasting Module of ERP System in Mass Customization Industry—Case Studies

Grobler-Dębska

Kucharska

Zak³

et al. 2022

Applied Sciences

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Mass customization production is a manufacturing process in which mass-produced products are modified according to specific customer needs. An example of such production is furniture production, where multiple options options for various components or features are available. Demand forecasting in mass customization industry is a difficult task for organizations and is both crucial for their profits and for market penetration. Unfortunately, the currently available tools are focused on more standard demand forecasts, which lack interpretable representation of information relevant for mass customization products. This is especially relevant for ERP systems, which are the backbone of modern manufacturing. We propose a forecasting method adapted to the needs of mass customization by focusing on demand prediction—not on finished products, but on key intermediate goods. Moreover, we provide a method for determining such goods. As an additional consequence we provide an implementation strategy that reduces the risk and time consumption when implementing forecasting in ERP systems. All the results are implemented as appropriate functionalities of a IFS Application ERP system.

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Forecasting in Enterprise Resource Planning (ERP) Systems: A Survey

Cited by 4 publications

References 4 publications

Digital Transformation Impact on Organization Management and Several Necessary Protective Actions

Digital Transformation Impact on Organization Management and Several Necessary Protective Actions

A Petri Net Approach for Business Process Modeling and Simulation

Implementation of Demand Forecasting Module of ERP System in Mass Customization Industry—Case Studies

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