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Asian Journal of Management Science and Applications    [5 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  [381 journals]
  • Bayesian analysis of unemployment dynamics in Japan
    • Authors: Koki Kyo, Hideo Noda, Genshiro Kitagawa
      Pages: 4 - 25
      Abstract: In this paper, we investigate the unemployment dynamics in Japan within the framework of Bayesian modelling. To consider structural changes in a model for the matching function specified in Cobb-Douglas form, we regard not only the matching efficiency but also the elasticities of new hiring with respect to unemployment and with respect to vacancies as time-varying parameters. Then, from a Bayesian perspective, these are treated as random variables and smoothness priors are introduced. In addition, a set of models for the matching function and the smoothness priors is described in a state space representation. The parameter estimation is carried out using Kalman filter and fixed-interval smoothing. The average for the period between January 2009 and December 2010 suggests that 60% of the total unemployment rate was a result of structural and frictional factors and that 40% was attributable to a labour demand deficiency. Further, in terms of matching efficiency, the Japanese labour market is not viewed as functioning effectively even in the late 2000s.
      Keywords: unemployment dynamics; Japanese labour market; matching function; matching efficiency; Bayesian analysis; Japan; Kalman filter; modelling; structural changes; parameter estimation; fixed-interval smoothing
      Citation: Asian J. of Management Science and Applications, Vol. 1, No. 1 (2013) pp. 4 - 25
      PubDate: 2013-08-24T23:20:50-05:00
      DOI: 10.1504/AJMSA.2013.056005
      Issue No: Vol. 1, No. 1 (2013)
       
  • Modelling the behavioural factors of green supply chain management
           implementation in mining industries in Indian scenario
    • Authors: Kamalakanta Muduli, Akhilesh Barve
      Pages: 26 - 49
      Abstract: Mining industries of India which bear a poor public image are trying to improve their environmental performance through green supply chain management (GSCM) adoption to comply with government regulations, avoid public outcry and attract financial institutions. Human resource of any organisation is a critical success factor of green supply chain management, whose effectiveness is affected by certain behavioural factors. In the present work, an attempt has been made to identify the behavioural factors present in GSCM environment of Indian mining industries and to find out the extent of their effect on GSCM implementation through graph theory and matrix approach (GTMA).
      Keywords: green SCM; green supply chains; supply chain management; GSCM; graph theory; matrix approach; GTMA; behavioural factors; mining industry; India; modelling; environmental performance; human resources; critical success factors; CSFs
      Citation: Asian J. of Management Science and Applications, Vol. 1, No. 1 (2013) pp. 26 - 49
      PubDate: 2013-08-24T23:20:50-05:00
      DOI: 10.1504/AJMSA.2013.056007
      Issue No: Vol. 1, No. 1 (2013)
       
  • Adjusted-Stackelberg scheme in applying profit-sharing to
           coordinate dual channel supply chain
    • Authors: Erwin Widodo, I Nyoman Pujawan, Budi Santosa
      Pages: 50 - 66
      Abstract: Dual channel supply chain (DCSC), a structure of simultaneous sales through conventional store and online facility has been gaining popularity. However, besides its potential, DCSC also comes with its inner-competition, i.e., between incumbent conventional store and newly introduced online facility. This situation leads to the necessity of an effective coordination mechanism. We propose an approach of profit sharing based on an adjusted-Stackelberg-equilibrium result on DCSC prices. Our approach is simply practical unlike the complicated full-coordination of Bertrand scheme but is able to offer higher total DCSC profit than the original Stackelberg scheme.
      Keywords: dual channel supply chains; DCSC; profit sharing; Stackelberg equilibrium; supply chain management; SCM; supply chain coordination
      Citation: Asian J. of Management Science and Applications, Vol. 1, No. 1 (2013) pp. 50 - 66
      PubDate: 2013-08-24T23:20:50-05:00
      DOI: 10.1504/AJMSA.2013.056006
      Issue No: Vol. 1, No. 1 (2013)
       
  • Improved algorithm using generalised flows for an optimisation problem in
           a cash flow network
    • Authors: Akira Nakayama, Pan Li Gang
      Pages: 67 - 95
      Abstract: We consider a cash-flow optimisation problem for the cash management method proposed by Golden et al. One of the important objectives of a company is to maximise the total cash at the final term in the network, with the constraints that the total cash supply meets the total demand and some money is invested at each term j = 1, 2,...,n, where n is the number of terms run by the company. Golden et al. formulated this as a flow problem with gains or losses in a cash flow network, and they gave an algorithm for finding the optimal flow in the network. This algorithm is not necessarily efficient from a computational complexity point of view. The three main results of this paper are as follows: 1) we propose an efficient algorithm for this optimisation problem; 2) we point out close relations between the optimisation of cash flow and the generalised flow problem with gains or losses; 3) we improve an algorithm that we developed in an earlier study. Our proposed algorithm runs in O(n(min{n, i<SUP align="right">*</SUP>})²) time where i<SUP align="right">*</SUP> > 0 is an integer calculated from a given instance. The complexity is strongly polynomial, which implies that the computation time depends on only the structure of the underlying graph of the cash flow network. Our algorithm can be directly applied to the cash flow management of a real industry, such as an agricultural business.
      Keywords: cash management; cash flow networks; generalised maximum flow; polynomial time algorithm; cash flow optimisation; generalised flows
      Citation: Asian J. of Management Science and Applications, Vol. 1, No. 1 (2013) pp. 67 - 95
      PubDate: 2013-08-24T23:20:50-05:00
      DOI: 10.1504/AJMSA.2013.056008
      Issue No: Vol. 1, No. 1 (2013)
       
  • Optimal worker assignment with two special workers in a limited-cycle
           model with multiple periods
    • Authors: Xianda Kong, Jing Sun, Hisashi Yamamoto, Masayuki Matsui
      Pages: 96 - 120
      Abstract: This study investigates the properties of the optimal assignment of two special workers in a limited-cycle model with multiple periods. Due to the competition among enterprises, meeting the scheduled delivery date becomes a necessity. In most arbitrary cases, the result and efficiency of a certain period of a production cycle are influenced not only by the risks that exist in the current period but also by the risks that existed in the foregoing ones. Moreover, the risk itself is also greatly affected by the risks that existed in the earlier periods. This kind of model is called a limited-cycle model with multiple periods. In this paper, we consider the properties of the optimal worker assignment that minimises the total expected risk in a limited-cycle model with multiple periods. This study is useful in describing the properties of the optimal worker assignment theoretically and determining an optimal cycle time.
      Keywords: limited cycle models; multiple periods; optimal worker assignment; processing efficiency; scheduling; expected cost; optimisation; modelling; delivery dates; total expected risk; optimal cycle time
      Citation: Asian J. of Management Science and Applications, Vol. 1, No. 1 (2013) pp. 96 - 120
      PubDate: 2013-08-24T23:20:50-05:00
      DOI: 10.1504/AJMSA.2013.056009
      Issue No: Vol. 1, No. 1 (2013)
       
 
 
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