Procedures to accommodate system fluctuations that result in buffer compromised systems governed by the theory of constraints

Tourism supply chain management has become an important research topic as individual firms no longer compete as isolated entities but rather as supply chains in the tourism industry. Despite the evidence that benefits can be gained to improve profitability, competitiveness, and customer satisfaction, the research on how to manage the tourism supply chain is very limited. This research contributes to the literature by applying the theory of constraints (TOC) with systems thinking to tourism supply chain management. It proposes that the key issue in tourism supply chain management is the coordination of business activities and the TOC with systems thinking can effectively support tourism supply chain coordination of the various links and processes. The article examines the TOC performance measures and the drum–buffer–rope model in the context of tourism management and applies the focusing process of the TOC as a continuous improvement approach for tourism supply chain management. The research findings suggest that, given modifications to the TOC terminology and the principles, the TOC principles can work as an excellent approach to facilitate the tourism supply chain management.

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Learning from experience: A structured methodology based on TOC

Human Systems Management ◽

10.3233/hsm-2005-24108 ◽

2005 ◽

Vol 24 (1) ◽

pp. 95-104

Author(s):

Eli Schragenheim ◽

Avner Passal

Keyword(s):

Mental Models ◽

Control Mechanism ◽

Theory Of Constraints ◽

Top Management ◽

Learning From Experience ◽

Managerial Control ◽

Thinking Processes ◽

The Right

This paper presents a structured methodology for learning from experience. It uses the Thinking Processes of the Theory of Constraints with some changes. The objective of the methodology is to learn from single events to identify flawed mental models, update them and fix the processes and norms that have been based on the flawed model. The methodology as such could be used as a managerial control mechanism, especially at times of change, to keep the organization on the right direction pointed by the top management.

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Optimization in Critical Work Center Using Theory of Constraints

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/648/1/012017 ◽

2019 ◽

Vol 648 ◽

pp. 012017

Author(s):

R M Sari ◽

K Syahputri ◽

I Rizkya ◽

N Siboro

Keyword(s):

Theory Of Constraints

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Green Activity-Based Costing Production Decision Model for Recycled Paper

Energies ◽

10.3390/en13102413 ◽

2020 ◽

Vol 13 (10) ◽

pp. 2413 ◽

Cited By ~ 1

Author(s):

Chu-Lun Hsieh ◽

Wen-Hsien Tsai ◽

Yao-Chung Chang

Keyword(s):

Mathematical Programming ◽

Programming Model ◽

Paper Industry ◽

Labor Cost ◽

Production Model ◽

Theory Of Constraints ◽

Carbon Equivalent ◽

Activity Based Costing ◽

Recycled Paper ◽

Green Production

Using mathematical programming with activity-based costing (ABC) and based on the theory of constraints (TOC), this study proposed a green production model for the traditional paper industry to achieve the purpose of energy saving and carbon emission reduction. The mathematical programming model presented in this paper considers (1) revenue of main products and byproducts, (2) unit-level, batch-level, and product-level activity costs in ABC, (3) labor cost with overtime available, (4) machine cost with capacity expansion, (5) saved electric power and steam costs by using the coal as the main fuel in conjunction with Refuse Derived Fuel (RDF). This model also considers the constraint of the quantity of carbon equivalent of various gases that are allowed to be emitted from the mill paper-making process to conform to the environmental protection policy. A numerical example is used to demonstrate how to apply the model presented in this paper. In addition, sensitivity analysis on the key parameters of the model are used to provide further insights for this research.

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DEA window analysis and Malmquist index to assess efficiency and productivity in the Spanish electricity sector

International Journal of Energy Sector Management ◽

10.1108/ijesm-03-2019-0020 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Jaime Sánchez-Ortiz ◽

Teresa Garcia-Valderrama ◽

Vanesa Rodríguez-Cornejo ◽

Francisca Cabrera-Monroy

Keyword(s):

Malmquist Index ◽

Electricity Sector ◽

Theory Of Constraints ◽

Economic Regulation ◽

Data Envelopment ◽

Electricity Distribution ◽

Content Type ◽

External Constraints ◽

Efficiency And Productivity ◽

Dea Window Analysis

Purpose The purpose of this paper is to demonstrate that overcapacity and tariff deficit (external constraints) negatively affect the efficiency of distribution firms in the Spanish electricity sector. To do this, the paper is based on the theory of constraints and theory of economic regulation. Design/methodology/approach Data envelopment analysis (DEA) window methodology is carried out on the constant scales (I-C) with a sample consisting of five main distribution firms during the period from 2006 to 2015. In turn, an analysis of the Malmquist index is carried out to assess whether it has had a displacement with respect to the efficiency frontier. Findings The results show that the overcapacity and the tariff deficit negatively affect the efficiency of the distribution firms of the Spanish electricity sector. In addition, there is an existence of external constraints that affect the activities of regulated organisations and the importance of adequate legislation in regulated sectors. Originality/value This study defines a model that shows how the efficiency problems associated with electricity distribution companies such as productive overcapacity or tariff deficit can be measured based on the theory of constraints and theory of economic regulation.

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Offshore Platform Turn Around Using the Critical Chain Project Management Method (CCPM)

Volume 1: Offshore Technology ◽

10.1115/omae2009-79484 ◽

2009 ◽

Author(s):

Jose Finocchio Junior ◽

Marcelo Ramos Martins

Keyword(s):

Project Management ◽

Critical Path ◽

Theory Of Constraints ◽

Structured Interviews ◽

Oil Platforms ◽

Qualitative Approaches ◽

Decision Making Processes ◽

Critical Chain Project Management ◽

Management Method ◽

Critical Chain

The present study discusses the adequacy of the Critical Chain Project Management Method (CCPM) — also known as the Critical Chain Method — for scheduling projects involving shutdowns on oil platforms, as such projects involve decision-making processes under risk conditions. The CCPM is based on the Theory of Constraints and aims at providing more precise and more clearly focused control instruments than those traditionally used in the Critical Path Method (CPM). The CCPM also indicates the best moments to act and where and how the action should be directed. The hypothesis underlying the research is that the CCPM portrays, more adequately than the CPM, the uncertainty that exists in a platform shutdown. This characteristic also makes it possible to draw up a schedule that is both more realistic and more challenging, as it addresses the goal of causing less interruption of production. On the basis of this hypothesis, the two main questions that oriented the entire investigation were: 1) Is the CCPM suitable for scheduling the shutdown of an offshore oil platform and, 2) What advantages might it have over the traditional methods in use? To answer these questions the authors reviewed the existing bibliography on the topic and made direct on-site observations during an actual shutdown. In addition, interviews were held with a number of specialists in the area using qualitative approaches, namely, semi-structured interviews, focus groups, and action research.

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