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A Study on Assessment of Business Process Modeling Tool with the Application of the Grey Relational Analysis

Pallavi. D. R.*

1Center for Management Studies, JAIN (Deemed-to-be University), Bangalore, Karnataka India .

Corresponding author Email: Pallavi_dr@cms.ac.in


DOI: http://dx.doi.org/10.12944/JBSFM.05.01.03

Business Process Modelling (BPM) plays a crucial role in connecting corporate policies with IT platform implementation to ensure business benefits. By integrating procedure, functional, organizational, and information perspectives with key metrics such as costs, cycle times, and responsibilities, BPM provides a foundation for assessing value chains, activity-based costs, bottlenecks, critical routes, and inefficiencies. In today's business landscape, both management and BPM are increasingly recognized as vital components. To facilitate the integration of modelling partners and BPM technologies, BPM tools have emerged as effective solutions. These tools enable the presentation and operational management of associated models to relevant parties. The Multi-Criteria Decision-Making (MCDM) is used to analyse the data and deriving the results. In the context of Multi-Criteria Decision-Making (MCDM), selecting the most suitable business activity modelling tool among the available options becomes imperative. This study proposes an approach based on the Grey Relational Analysis (GRA) method to assist businesses in making informed decisions and choosing the optimal business policy modelling technology. The objective is to enhance the effectiveness, affordability, and security of the business procedure modelling process. Using GRA analysis, this research ranks a set of BPM tools, namely GDToolkit, JPetriNet, and ADONIS: CE, TimeNet, Jfern, and GreatSPN. The findings reveal the following order: GDToolkit (1st), JPetriNet (2nd), ADONIS: CE (3rd), TimeNet (4th), Jfern (5th), and GreatSPN (6th). The analysis indicates that GDToolkit is the preferred BPM tool, offering the most desirable features, while GreatSPN is considered the least preferred option. Overall, this research demonstrates the effectiveness of employing Grey Relational Analysis as a decision-making tool for selecting appropriate BPM technologies. By utilizing GRA, businesses can make informed choices that lead to more effective, affordable, and secure business process modelling, thereby enhancing their operational efficiency and competitiveness.

Choices; Gantt Charts, Grey Relational Analysis; Business Process Modelling; Multi Criteria Decision Makin

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Pallavi D. R."A Study on Assessment of Business Process Modeling Tool with the Application of the Grey Relational Analysis". Journal of Business Strategy Finance and Management, 5(1).

DOI:http://dx.doi.org/10.12944/JBSFM.05.01.03

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Pallavi D. R."A Study on Assessment of Business Process Modeling Tool with the Application of the Grey Relational Analysis". Journal of Business Strategy Finance and Management, 5(1). Available here: https://bit.ly/3DyoFF0
 


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Article Publishing History

Received: 2023-06-26
Accepted: 2023-07-27
Reviewed by: Orcid Orcid Lubna Siddiqui
Second Review by: Orcid Orcid H. L. Bhaskar
Final Approval by: Dr. Selim Ahmed

Introduction

A firm's present procedure is displayed through "Business Process Modelling". Tools for modelling corporate processes visually show a process's lifecycle. For an analytical depiction or representation of business operations to be effective, they are crucial. To create a thorough representation, one must first comprehend Business Process Modelling1. The approach of (BPM) increases efficiency while cutting expenses. It displays the performance of a business operation in the present or the prospective. "Steps, participants, and decision logic" are all included in BPM across the workflow. The steps of "process discovery, process mapping, process simulation, process analysis, and process improvement" are all combined in this method 2. Users can comprehend crucial business tasks with BPM. "Diagrams and flowcharts" are typically used to represent them additionally, these models offer crucial insights regarding the actions that make up a process 3. BPM includes both "folks (departments and groups) and IT (information technology) processes". Foreign company operations may engage in BPM if it is advantageous. Larger firms have BPMs that are more extensive due to volume and sophistication4. There are several modelling programs available, but deciding which one to employ might be difficult. The decision requires direction. Tools for BPM are visual representations of an application's timeline. For a workflow to be effectively represented analytically or shown, they are necessary. A thorough understanding of BPM helps in creating a thorough representation 5.

BPM is a very successful method that has several advantages for enterprises. BPM reveals areas that want work. The BPM is primarily used to give parties concerned a better knowledge of how a process functions intending to adopt enhancements6. In addition, the model entices integrity by outlining expected behavior for activities, assigns responsibility for them, and demonstrates how a process advances a company's goals. This plays a significant part in raising responsibility and levels of trust within a business8. BPM model enable agility and adaptability to change. As the business goals and tactics can shift quickly. With the use of business process modeling, stakeholders can quickly spot and carry out adjustments in line with new goals 9. The model supports uniformity between sectors. Many organizational procedures, especially those that are more complex, involve the same steps and activities. For instance, instead of at the company level, purchase requisition applications are frequently made at the cell level. Stakeholders can establish standards across units by employing process models to apply effective processes across the organization10.

The model employs the following.

Flowcharts

"A flowchart" is a visual representation that shows how a process works in business. To illustrate the steps, it employs basic forms and arrows. Forms denote actions and events, whereas arrows represent logical progressions. Various flowcharts can be produced using the software. They have to have a beginning and a finish. Typically, flowcharts come before more complicated modeling 11.

Gantt Charts

Process dynamics have long been represented visually using Gantt charts. They employ a bar format to represent a project timetable, including the length of activities and their component elements. Gantt charts are the perfect choice if you are working with schedules or operations that require a lot of time. Breaking the duties down into smaller activities helps to quickly determining whether the project is on time or late 12,13.

Control Flow Diagrams

Charts of management flows can depict typical flows with restrictions and limitations. These illustrations show how certain elements, such as extra data or other inputs, can affect how a procedure moves. A portion of the flow is represented by each component in a diagram. They are method diagrams 14.

Functional Flow Block Diagrams

Again, for modelling business processes, these charts are crucial. They entail a progressive arrangement of modules, where activities necessary for a result are referred to as blocks. "Equipment, software, and training" are identified in the operational circulation schematic. These diagrams are preferable to flowcharts when displaying hierarchical operations. They are purpose-oriented, in contrast to flowcharts 15.

Business Process Modelling Notation (BPMN)

"BPMN" is a diagram method that shows a process's stages from start to finish. It offers a thorough breakdown of business processes and flows. As a result, it serves as a crucial instrument in "business process modelling". This tool's purpose is to illustrate methods for increasing effectiveness and delineating brand-new circumstances. "The BPMN" model has been standardized, and using the standardized BPMN is advised. It can also be utilized with its graphic syntax and icons 16

Unified Modelling Language Diagrams (UML)

"UML diagrams" were created by software designers to depict the structure and interconnections of systems. This entity tool illustrates the interaction between organizations and individuals. Process documentation is made simpler and simpler to comprehend by using UML technology17.

The major goal of this strategy is to choose the best BPM solution for the business buying or implementing it, allowing for safer, quicker, more cost-effective, and more effective use of the BPM tool. Based on the primary goal, the corporate experts can choose the characteristics to be taken into account while choosing the BPM tool. Before assessing the options for BPM tools, it is vital to determine "the benefit and cost requirements" that will be used. Designers will also establish the relevant rank values for each of the criteria at this point. The weights for the benchmarks can then be determined using the GRA approach
18. In the context of Multi-Criteria Decision-Making (MCDM), selecting the most suitable business activity modelling tool among the available options becomes imperative. The research proposes an approach based on the Grey Relational Analysis (GRA) method to assist businesses in making informed decisions and choosing the optimal business policy modelling technology. The objective is to enhance the effectiveness, affordability, and security of the business procedure modelling process.

Materials and Methods

Finding an acceptable answer from a limited number of possible alternatives that have been evaluated on a variety of qualities, both numerical and subjective, is called a "multiple attribute decision-making" (MADM) issue. Scholars from a variety of fields have paid a lot of emphasis to MADM recently19. One approach to studying ambiguity is called the grey system concept, which excels at mathematically analysing systems with dubious knowledge. As shown in the grey system idea, a white system is one where all of the data is available; a black system is one where all of the data is unclear 20. "A grey system" is one that only has the least part of recognized details. " Grey relational analysis (GRA), grey decision, grey programming, and grey control" are the five main components of the grey systems approach. GRA is part of the grey systems approach, which helps tackle challenges with intricate interconnections between various components and quantities 21. Therefore, the GRA technique has been extensively employed to address uncertainty issues arising from discontinuous data and partial knowledge. Additionally, the GRA approach is one of the most widely used techniques for examining numerous associations between discrete data collections and for making conclusions when dealing with several attributes. The main benefits of the GRA technique are that it is some of the best ways to make judgments in a corporate context, the computations are easy to understand, and the conclusions are dependent on the raw data22. Widespread use of "Deng's (1982) grey systems approach" in a variety of domains. It has been demonstrated to be practical for coping with inaccurate, insufficient, and ambiguous info. " Grey relational analysis (GRA)" is a branch of the grey systems approach, which can be used to solve issues involving complex interactions between several different elements and elements 23.

Numerous MADM issues, including "hiring decisions
31, restoration planning for power distribution systems30, an inspection of integrated-circuit marking processes33, modelling of quality function deployment34, defect detection in silicon wafer slicing 32 have been effectively addressed by the use of GRA24. By incorporating all of the achievement similarity measures taken into account for each option into a fixed value, GRA can help address MADM troubles. As a result, the original issue is reduced to a judgement issue involving a single attribute. As a result, following the GRA procedure, solutions with numerous characteristics can be simply evaluated 25. Furthermore, a comparison sequence is created by converting the behaviour of each possibility into the primary step of GRA. The term "grey relational generating" refers to this phase. Based on those sequences, "a standard sequence (ideal target sequence)" is defined. Finally, the grey relational correlation between all similarity variants and the benchmark pattern is determined26. "The grey relational grade" between each comparable pattern and the benchmark pattern is then generated based on those "grey relational coefficients". The optimal variant will be the one whose converted comparable sequence has the greatest grey relational grade among "the reference sequence and itself" 27.

The objectives of the study include introducing BPM tools as effective solutions for facilitating the integration of modeling partners and BPM technologies. To propose an approach based on the Grey Relational Analysis (GRA) Method to assist businesses in making informed decisions and choosing the optimal business policy modeling technology. To conduct a comparative analysis of various BPM tools (GDToolkit, JPetriNet, ADONIS: CE, TimeNet, Jfern, and GreatSPN)using the GRA to rank the according to their suitability for business activity modeling. The study makes an attempt to enable businesses to make informed choices that lead to more effective, affordable and secure business process modeling which result in the enhancement of operational efficiency and competitiveness.

Step 1: Design of decision matrix and weight matrix


For an MCDM problem consisting of alternatives and criteria, let D = xij be a decision matrix, where xij ∈  R



Step 2: Normalization of decision matrix

The normalization of two types of data i.e., better when the higher type or better when lower is evaluated using equations 2 or 3 respectively. After normalization, the data ranges from 0 to 1.

Where 
i,j=1,2,3,?,n

Step 3: Calculation of Gray relation coefficient


Step 4: Calculation of Gray relation grade


It represents the Gray Relation Coefficient on averages. After that, options are ordered using the "Gray Relation Coefficient's average"
28,29. The major goal of this strategy is to choose the best BPM solution for the business buying or implementing it, allowing for safer, quicker, more cost-effective, and more effective use of the BPM tool. Based on the primary goal, the corporate experts can choose the factors to be taken into account while choosing the BPM tool. Before assessing the alternatives to BPM tools, it is vital to determine "the benefit and cost standards" that will be used. We will also establish the corresponding rank values for each of the criteria at this point. Afterwards, we may utilise the GRA approach to specify "the weight for the standards". After the consideration, “Readability, Usability, Formality, Operating cost, Training cost, Application and Installment time” are to be used for BPM tool selection. In this example, we consider 6 candidates “BPM tools (JFern, JPetriNet, GreatSPN, GDToolkit, TimeNet and ADONIS: CE)”.

Analysis and Discussion

Table 1: Evaluation rank value for all the business process modelling tool selection criterions

BPM Tools

Readability

Usability

Formality

Operating cost

Training cost

Instalment time

Jfern

3

2

3

2

2

3

JPetriNet

3

2

3

2

2

2

GreatSPN

4

3

2

4

3

3

GDToolkit

5

4

3

2

3

2

TimeNet

2

3

4

3

2

4

ADONIS: CE

2

1

2

1

1

5


Table 1 shows the initial decision matrix for the Evaluation rank value for all the business process modelling tool selection criteria. Here we consider 6 candidate BPM tools (JFern, JPetriNet, GreatSPN, GDToolkit, TimeNet and ADONIS: CE). After the consideration, “Readability, Usability, Formality, Operating cost, Training cost, Application and Installment time” are to be used as evaluation parameters for BPM tool selection. Here Readability, Usability, and Formality are beneficial criteria. Operating cost, Training cost, and Application and Installment time are taken as non-beneficial criteria.

Figure 1. Evaluation rank value for all the business process modelling tool selection criterions

Click here to view Figure


Figure 1 illustrates the initial decision matrix for Evaluation rank value for all the business process modelling tool selection criteria. Here we consider 6 candidate BPM tools (JFern, JPetriNet, GreatSPN, GDToolkit, TimeNet and ADONIS: CE). After the consideration, “Readability, Usability, Formality, Operating cost, Training cost, Application and Installment time” are to be used as evaluation parameters for BPM tool selection.

Table 2: Normalized matrix.

0.3333

0.3333

0.5000

0.6667

0.5000

0.6667

0.3333

0.3333

0.5000

0.6667

0.5000

1.0000

0.6667

0.6667

0.0000

0.0000

0.0000

0.6667

1.0000

1.0000

0.5000

0.6667

0.0000

1.0000

0.0000

0.6667

1.0000

0.3333

0.5000

0.3333

0.0000

0.0000

0.0000

1.0000

1.0000

0.0000


Table 2 shows the normalized array for Evaluation rank value for all the business process modelling tool selection criteria. This is calculated using equation 2 for beneficial criteria (Readability, Usability, Formality) and equation 3 for non-beneficial criteria (Operating cost, Training cost, Application and Installment time).

Table 3: Deviation sequence.

0.6667

0.6667

0.5000

0.3333

0.5000

0.3333

0.6667

0.6667

0.5000

0.3333

0.5000

0.0000

0.3333

0.3333

1.0000

1.0000

1.0000

0.3333

0.0000

0.0000

0.5000

0.3333

1.0000

0.0000

1.0000

0.3333

0.0000

0.6667

0.5000

0.6667

1.0000

1.0000

1.0000

0.0000

0.0000

1.0000



Table 3 shows the Deviation sequence matrix for Evaluation rank value for all the business process modelling tool selection criteria. This value is calculated using equation 4, that is Maximum value of the column of normalized value is subtracted from the current value of the normalized matrix.

Table 4: Grey Relation Coefficient.

0.4286

0.4286

0.5000

0.6000

0.5000

0.6000

0.4286

0.4286

0.5000

0.6000

0.5000

1.0000

0.6000

0.6000

0.3333

0.3333

0.3333

0.6000

1.0000

1.0000

0.5000

0.6000

0.3333

1.0000

0.3333

0.6000

1.0000

0.4286

0.5000

0.4286

0.3333

0.3333

0.3333

1.0000

1.0000

0.3333



Table 4 shows the Grey Relation Coefficient matrix for Evaluation rank value for all the business process modelling tool selection criteria. This value is calculated using equation 5 and the zeta value is 0.5. Table 3 Deviation sequence matrix is for calculating Grey Relation Coefficient.

Table 5: Grey Relation Grade

BPM tools

GRG

Jfern

0.5095

JPetriNet

0.5762

GreatSPN

0.4667

GDToolkit

0.7389

TimeNet

0.5484

ADONIS: CE

0.5556


Table 5 shows the Grey Relation Grade value for alternate BPM tools taken for this paper. Its average values of the Grey Relation Coefficient using table 4. Here Grey Relation Grade value for Jfern is 0.5095, JPetriNet is 0.5762, GreatSPN is 0.4667, GDToolkit is 0.7389, TimeNet is 0.5484 and ADONIS: CE is 0.5556.

Figure 2: Grey Relation Grade

Click here to view Figure


Figure 2 shows the graphical representation of the Grey Relation Grade value for alternate BPM tools taken for this paper. Its average values of the Grey Relation Coefficient using table 4. Here Grey Relation Grade value for Jfern is 0.5095, JPetriNet is 0.5762, GreatSPN is 0.4667, GDToolkit is 0.7389, TimeNet is 0.5484 and ADONIS: CE is 0.5556.

Table 6: The rank of BPM tools.

BPM tools

Rank

Jfern

5

JPetriNet

2

GreatSPN

6

GDToolkit

1

TimeNet

4

ADONIS: CE

3


Table 5 shows the rank of the alternate BPM tools taken for this paper by ranking Grey Relation Grade values using table 5. Here rank for Jfern is fifth, JPetriNet is second, GreatSPN is sixth, GDToolkit is first, TimeNet is fourth and ADONIS: CE is third. The ranking order is “GDToolkit > JPetriNet > ADONIS: CE > TimeNet > Jfern > GreatSPN”.

Figure 3: The Rank Of Bpm Tools.

Click here to view Figure


Figure 3 shows a graphical representation of the rank of the alternate BPM tools taken for this paper by ranking Grey Relation Grade values using table 5. Here rank for Jfern is fifth, JPetriNet is second, GreatSPN is sixth, GDToolkit is first, TimeNet is fourth and ADONIS: CE is third. The ranking order is “GDToolkit > JPetriNet > ADONIS: CE > TimeNet > Jfern > GreatSPN”. In this paper, the GRA analysis shows that the best preferred BPM tool is GDToolkit and the least preferred BPM tool is GreatSPN.

Conclusion

Industry professionals that have experience in the modelling area generally execute business process modelling (BPM), an efficient activity for expressing business operations for a corporation. BPM is a crucial component of businesses' efforts to optimize the efficiency of their information systems (IS). "Management and BPM" are increasingly important components of today's businesses. In the meantime, BPM "(Business Process Modeling) tools" are regarded as a great way to link modelling stakeholders and BPM cultures. The associated model can be shown to stakeholders using "BPM tools, and stakeholders" can also use these tools to manage and govern the model. For instance, BPM technologies can be used to create "business process models for the automobile manufacturing industry". Choosing the right BPM tool can be considered a crucial issue for a business because a bad choice can have a major and detrimental effect on the BPM modelling process, which will immediately damage the growth of business IS. Selecting an efficient BPM platform for the firm is a hard process, and numerous factors that influence BPM ought to be examined. This study applies a technique centred on "the Grey Relational Analysis (GRA) methodology" to assist businesses in choosing the best business process modelling technology, resulting in a more effective, affordable, and secure business process modelling approach. The rank for Jfern is fifth, JPetriNet is second, GreatSPN is sixth, GDToolkit is first, TimeNet is fourth and ADONIS: CE is third. The ranking order is “GDToolkit > JPetriNet > ADONIS: CE > TimeNet > Jfern > GreatSPN”. In this paper, the GRA analysis shows that the best preferred BPM tool is GDToolkit and the least preferred BPM tool is GreatSPN.

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