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Journal Cover Asian Journal of Management Science and Applications
  [4 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 2049-8683 - ISSN (Online) 2049-8691
   Published by Inderscience Publishers Homepage  [421 journals]
  • Management of overlapped cross-training: with or without a
    • Authors: Yong Yin, Ikou Kaku, ChenGuang Liu
      Pages: 213 - 227
      Abstract: This paper discusses a short-term or periodic optimal workforce agility management decision for a serial manufacturing cell line. We consider a manufacturing cell under an uncertain business environment with product variability. During some planning period, there is a change in product type such as the introduction of a new product or model change of an old product. As a result of the change, some worker of the production cell becomes bottleneck which may cause congestion of products flow in the upstream and idling in the downstream. To solve the bottleneck problem, strategies such as using cross-trained workers or supervisor are considered. The production cell is then staffed by cross-trained workers who are partially cross-trained (e.g. overlapped cross-trained) and/or a supervisor who is full cross-trained. These strategies are modelled and analysed under different situations. Finally, we give optimal decisions for the management of workforce agility through the analysis of the comparative statics.
      Keywords: manufacturing cells; workforce agility; flexibility; worksharing; serial production; cross-training; supervisors; agility management; uncertainty; product variability; bottleneck problem; agile workforce
      Citation: Asian J. of Management Science and Applications, Vol. 2, No. 3 (2016) pp. 213 - 227
      PubDate: 2016-11-25T23:20:50-05:00
      DOI: 10.1504/AJMSA.2016.080472
      Issue No: Vol. 2, No. 3 (2016)
  • Solving the value-at-risk minimisation model with linear
           programming techniques
    • Authors: Chunhui Xu, Xiaolin Huang, Yanli Huo, Shuning Wang
      Pages: 228 - 244
      Abstract: This study considers portfolio selection problems in which risk is measured using value-at-risk (VaR). Because VaR is generally a non-convex and non-smooth function, conventional optimisation methods fail to solve portfolio selection models based on VaR. This has been considered an open problem since the 1990s. The study first proves that VaR is a continuous piecewise linear function of position when it is estimated with the scenario simulation method, and then, proposes a method for solving VaR minimisation models. The proposed method can yield a good local minimum or even a global optimum, although it has no theoretical guarantee. Because the proposed method uses only linear programming techniques, common linear programming solution software can be employed to solve VaR minimisation models of practical sizes in a short period of time. To illustrate the performance of the proposed method, we use it to solve a VaR minimisation model with 30 equities and 1,000 scenarios. We also compare the precision and computing time with another method. The results show that both methods can yield the optimal solution, but the proposed method is much faster.
      Keywords: portfolio selection; risk measurement; value-at-risk; VaR minimisation; optimisation; linear programming; scenario simulation
      Citation: Asian J. of Management Science and Applications, Vol. 2, No. 3 (2016) pp. 228 - 244
      PubDate: 2016-11-25T23:20:50-05:00
      DOI: 10.1504/AJMSA.2016.080470
      Issue No: Vol. 2, No. 3 (2016)
  • Cell loading and manpower allocation with fuzzy multiple objectives in
           synchronised manufacturing cells
    • Authors: Dyah A. Hening, Can Celikbilek, Gürsel A. Süer
      Pages: 245 - 272
      Abstract: This paper seeks to determine the feasibility of using fuzzy concepts in cell loading and manpower allocation to solve multiple objectives scheduling problems in a cellular manufacturing environment. Various manpower allocation levels were considered and then products were assigned to the cells and followed up by product sequencing and manpower allocation decisions in each cell by considering the fuzzy concept. The number of operators needed in a time bucket may be different based on the manpower requirement for each process. Fuzzy mathematical model for cell loading and cell sequencing were developed in multiple cells with multiple objectives. The objectives were to minimise the total manpower shortages simultaneously with the minimum number of time buckets with manpower allocation shortage. Then, additional manpower as floaters were considered to reduce the total number of manpower shortages. The results revealed that multiple objectives with fuzzy functions balanced the manpower allocation and minimised the total shortage.
      Keywords: cellular manufacturing; fuzzy modelling; manpower allocation; cell loading; multi-objective scheduling; synchronisation; fuzzy logic; synchronised manufacturing cells; mathematical modelling; cell sequencing; manpower shortages
      Citation: Asian J. of Management Science and Applications, Vol. 2, No. 3 (2016) pp. 245 - 272
      PubDate: 2016-11-25T23:20:50-05:00
      DOI: 10.1504/AJMSA.2016.080469
      Issue No: Vol. 2, No. 3 (2016)
  • The influence of the diversification degree and directivity on business
    • Authors: Ryota Ishiai, Ling Feng, Masahiro Irie
      Pages: 273 - 295
      Abstract: One of main purposes of diversification strategy is to decrease the business risk by portfolio construction. In this case, since the unrelated diversification strategy differs in the performance variation pattern between business segments greatly, we think that business risk will be decreasing. We find that when RHI (an index of the degree of diversification) is less than 0.3, Dir (an index of the directivity of diversification we proposed) and business risk is in positive correlation. That is, when the degree of diversification is low, unrelated diversification will be effective in decreasing a business risk.
      Keywords: business risk; degree of diversification; directivity of diversification; diversification strategy
      Citation: Asian J. of Management Science and Applications, Vol. 2, No. 3 (2016) pp. 273 - 295
      PubDate: 2016-11-25T23:20:50-05:00
      DOI: 10.1504/AJMSA.2016.080473
      Issue No: Vol. 2, No. 3 (2016)
  • Changes in the attitudes and behaviours of champions and antagonists in
           new business development
    • Authors: Ryota Ishiai, Ling Feng, Masahiro Irie
      Pages: 296 - 313
      Abstract: This paper compares the behaviours of champions and antagonists. Champions and antagonists have big impacts on continuation and success or suspension and failure in the development of new businesses. Hypotheses are created through analysing three cases. By focusing on new business development, this paper discusses four people who act as champions and/or antagonists. A founding is that a person may change his/her stance (i.e., from a champion to an antagonist, and vice versa). The reasons for these stance changes are as follows: 1) changes in the environment surrounding the project; 2) changes in project activities; 3) persuasion and promotion of awareness among champions and antagonists by other champions and antagonists. Due to these reasons, real or potential changes in the benefits or disadvantages for champions or antagonists result in big changes in the attitudes and behaviours of champions and antagonists, to the extent that champions become antagonists and antagonists become champions. In addition, the impact of these changes in stance is extremely strong to the point that they could have suspended the new businesses. In these circumstances, it took the work of another champion to avoid the danger of suspension. This paper also presents a logical model and four insights.
      Keywords: champions; antagonists; entrepreneurs; new business development; corporate venturing; innovation management; Canon; Sony; Playstation; intrapreneurs; entrepreneurship
      Citation: Asian J. of Management Science and Applications, Vol. 2, No. 3 (2016) pp. 296 - 313
      PubDate: 2016-11-25T23:20:50-05:00
      DOI: 10.1504/AJMSA.2016.080471
      Issue No: Vol. 2, No. 3 (2016)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
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