Integrating Profit Variance Analysis and Capacity Costing to Provide Better Managerial Information

2002 ◽  
Vol 17 (2) ◽  
pp. 149-161 ◽  
Author(s):  
Ramji Balakrishnan ◽  
Geoffrey B. Sprinkle

We present a framework for integrating profit variance analysis and capacity costing to provide better managerial information. The framework expands traditional variance analysis to incorporate planned and unplanned changes in inventory levels and the use of practical capacity to determine overhead rates. The framework has practical value because effective cost management and performance evaluation require ascertaining the costs (effects on profit) associated with capacity and the manner in which it is being used. Pedagogical value stems from connecting concepts underlying the choice of a denominator volume to set overhead rates, the profit effects of inventory changes, and variance analysis. By virtue of its generality, the framework enhances the value of capacity costing and profit variance analysis for management planning and control.

Author(s):  
D.L. Roke

The growth in horticultural and some industrial development in selected areas of Northland has led to a need for more specific and careful planning and control of limited resources in a number of major catchments. The potential irrigation demands for horhculture comprise over 60% of Northland's potential water requirements. By contrast, farm water supply needs are only 11% of these needs. Because of their importance to the Northland economy, and in the legislation these needs are given a high priority in water resource management planning. Land uses, including pastoral farming, require careful operation to reduce diffuse sources of pollution.


2005 ◽  
Vol 12 (4) ◽  
pp. 313-329 ◽  
Author(s):  
Irene M. Herremans ◽  
Robert G. Isaac

Author(s):  
Arun Kumar Sangaiah ◽  
Vipul Jain

The prediction and estimation software risks ahead have been key predictor for evaluating project performance. Discriminating risk is vital in software project management phase, where risk and performance has been closely inter-related to each other. This chapter aims at hybridization of fuzzy multi-criteria decision making approaches for building an assessment framework that can be used to evaluate risk in the context of software project performance in following dimensions: 1) user, 2) requirements, 3) project complexity, 4) planning and control, 5) team, and 6) organizational environment. For measuring the risk for effectiveness of project performance, we have integrated Fuzzy Multi-Criteria Decision Making (FMCDM) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approaches. Moreover the fusion of FMCDM and TOPSIS has not been adequately investigated in the exiting studies.


2015 ◽  
Vol 6 (2) ◽  
pp. 268-291 ◽  
Author(s):  
Mayada Abd El-Aziz Youssef ◽  
Essam Moustafa

Purpose – This paper aims to explore the existence of two sets of factors societal institutions and management control systems’ (MCS) characteristics in the UAE business entities. Subsequently, this paper empirically examines the bilateral and the multivariate associations between the two sets. The societal institutions include six factors categorised in three main groups: cultural conventions, state structures and policies and skill development and control. The MCS characteristics consist of four factors which are: reliance on formal rules, control over the behaviour of employees, involvement of subordinates in target setting and performance evaluation and scope of information used in performance evaluation. Design/methodology/approach – Whitley’s model (1999) is adopted in the UAE business environment and the analyses are performed at the organisational level. Qualified accounting officials and managers are surveyed. The Kruskal-Wallis test, Spearman’s partial correlation and multiple regression are used for data analyses. Findings – Findings reveal the characteristics of the UAE societal institutions and the MCS in UAE organisations. They also reveal significant associations among four of the societal institution factors and most of the MCS characteristics. The results highlight the role played by the government structures and policies group in influencing the MCS characteristics in the UAE organisations. However, these results do not entirely agree with Whitley’s model. Research limitations/implications – The results of this study are restricted by the typical constraints associated with the survey method. The obtained results have implications for researchers and managers in facilitating the understanding of the relations among the various societal institutions and the MCS characteristics. Originality/value – This research, to the best of the authors’ knowledge, provides significant new empirical evidence into the relation between societal institutions and MCS characteristics in a non-Western economy.


1995 ◽  
Vol 6 (4) ◽  
pp. 36-42 ◽  
Author(s):  
W. Rocky Newman ◽  
V. Sridharan

A manufacturing planning and control (MPC) system is a major part of the infrastructure used by a firm to enhance its competitive position. Although a clear understanding of the mechanics and benefits of alternative MPC systems exists, very little is known about the relationships between such systems, the strategic environment faced by the user‐firms, and their performance in achieving cost/competitive advantage. Historically, the choice of an MPC system appears to have been made based solely on available in‐house expertise, industry trends, or plain inertia. Reports a summary of the results of a survey conducted to explore empirically the relationship between the environmental characteristics faced by the manufacturing function and manufacturing performance of firms using alternative MPC systems. Presents the results of an analysis of the environment faced by best and worst performers using different MPC systems. The results indicate key linkages between the MPC systems, environment, and performance.


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