OPTIMIZATION OF MANUFACTURING PROCESS IN BUSINESS ORGANIZATIONS

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OPTIMIZATION OF MANUFACTURING PROCESS IN BUSINESS ORGANIZATIONS

CHAPTER ONE

INTRODUCTION

BACKGROUND OF THE STUDY

An optimal approach to policy setting, allowing system architects to automate application processes, is a crucial issue in today’s software engineering and complex engineering systems. For many years business process management (BPM) approach has been used to analyze business processes in many organizations. Traditional business process management methods assume the following five stages in the business process cycle: Process design consisting of creating a new or changing an existing process model; creating a process instance, its configuration and startup; executing; monitoring the execution of the process instance; and analyzing the performance of the process for improvement [1–3].

According to Reference [4], the development of business process models plays an essential role in the management of business processes. Achieving these models can take up to 60% of the project time. This time can be shortened by automatic or semi-automatic process model generation methods. The authors of Reference [4] used one of the existing algorithms of process detection or execution of a composition algorithm based on an activity graph, which generates a process model directly from an input event log file. The proposed approach allows process operators to take part in process modeling. It can also support business analysts or process designers in visualizing the workflow without the need to design the model in a graphical editor.

STATEMENT OF THE PROBLEM

In recent years, an essential change in the trend of transaction processing may be observed, as follows: The traditional BPM approach has been replaced with the Case Management one with process discovery methods, which are more and more often associated with the process lifecycle. Such an approach allows the transformation of input data from event logs registered during process execution into process models [1–6]. This transformation happens without the existence of any prior information about how the intended process should look. The built-in model usually takes the form Information 2019, 10, 270; doi:10.3390/info10090270 www.mdpi.com/journal/information of a graph, as follows: Petri net, BPMN (Business Process Model and Notation), EPC (Event-driven Process Chain diagram), or UML (Unified Modeling Language) activity diagram [2,3,5]. Process model validation methods consist of a comparison of an existing process model to the actual event log records. Model validation can be used to verify that the process instances recorded in the event log are compatible with the model, and vice versa. Methods of extending the process model include the expansion and improvement of the current process model using contextual information on the real implementation of activities registered in the event log. Meanwhile, process model validation evaluates the compatibility of the model with actual process data and the development of the process model is aimed at modifying or enlarging the existing model.

The connection between well-grounded social theories, like the social emergence theory, and techniques of data mining, primarily process mining, may result in the development of a system supporting modern organization in doing process-aware activity in a dynamically changing business environment.

OBJECTIVES OF THE STUDY

To understand the importance of optimization of manufacturing process in growth and development of business process
To understand the relationship between optimization of manufacturing process and growth and development of business process

RESEARCH QUESTIONS

What is the importance of optimization of manufacturing process in growth and development of business process
What is the relationship between optimization of manufacturing process and growth and development of business process

RESEARCH HYPOTHESIS

H0: There is a relationship between optimization of manufacturing process and growth and development of business process

H1: There is no relationship between optimization of manufacturing process and growth and development of business process

SIGNIFICANCE OF THE STUDY

This work provides a depth of information and references for future researchers, it also arms business policy makers for formulation of better business policies

SCOPE OF THE STUDY

This work spans across employees and workers, and managers from coca cola plc

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