Quantitative Evaluation of the Accomplishment of Operational Plans of the Organization and Context-Free Grammar Operational Planning Language

Quantitative Evaluation of the Accomplishment of Operational Plans of the Organization and Context-Free Grammar Operational Planning Language

Valeri Pougatchev (University of Technology, Jamaica)
DOI: 10.4018/978-1-5225-5522-3.ch007


The innovative and effective solutions for the strategic and operational planning management of organizations are discussed. The author reviews current and past challenges of the strategic and operational planning and describes two novel solutions with practical implementation for improving these processes. The first one is a numerical indicator V-index that represents the level of accomplishment of operational plans of the entire organization, its units, and members of staff. The V-index serves operational plans with hierarchical and non-hierarchical structures. The second solution is a novel context-free grammar operational planning language for a formal definition of the planning process. All examples and case-study presentation are based on fragments of the faculty/departments/programs of some fictional educational institution (university).
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In the beginning of this research we identify two main goals to be achieved:

  • 1.

    Develop a numerical indicator (“V-index”) of the accomplishment of the unit/persons operational plans, which provides transparency of viewing of the organization’s and staff’s achievements at all levels.

This parameter also facilitates a process of year-by-year strategic analysis of the success of the organization, its units, employees by managers and provides an effective control of organizational plans.

  • 2.

    Design a formal precise defined universal language to facilitate communication between all stakeholders of the organizational planning processes.

This language guarantees that everyone uses the same terminology, measurement requirements, and has the same vision on the planning process. It also facilitates an effective mechanism for creating an overall operational plan of the organization with a holistic balance between its different items. The content of this language is, actually, a set of organizational planning rules and performs all communications between personnel activity and computing machines without being subject to limitations of any specific computational platform (hardware, software, operational system, etc.).

Solutions presented in this study do not depend on the size of the organization; they can be implemented in the entire organization or partially in some units. For practitioners, the chapter provides a source code of scripts, which describe processes discussed here and can be used for practical simulation on readers’ own computers.

This research is unique because there are no other studies which investigate proposed goals.

Who is this chapter for?

  • Readers, who are involved in the strategic/operational planning processes of the organization as managers, and their employees – all staff of the organization.

  • Employees of the office of strategy management, if there are any at the organization.

  • Information communication technology (ICT) specialists, with software development, database management design, and system administration background.

  • Researchers and designers, which are focused on up-to-date technology in the Theory of Management and Computer Science.

  • Any practitioners, who are interested to implement proposed solutions.


A Review Of Challenges In The Strategic Planning Management Of The Organizations And Proposed Quantitative Solutions

We are living in a time when management theories are developing under the great impact of quantitative mathematical methods and computing. The three main areas of the quantitative approach are – management science (another name for operations research), operational management, and management information systems (Griffin, 1990). This approach includes the content covered in Table 1.

Table 1.
  o Mathematical statistics,
  o Optimization and information models,
  o Waiting line theory,
o Linear programming,
o Time series analysis,
o The probability theory,
o Decision theory,
o Computer simulations

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