A note on a paper by houston and huffman

This paper calls attention to an experimental design which enhances the efficiency of the technique described by B. F. Houston and R. A. Huffman [3]. This alternative design is a modification of the simplex lattice design developed by Scheffé [6] for the mixture problem. While not possessing the optimal statistical properties of the central composite design proposed in [3], such as minimum bias and minimum variance, this modified design is optimum with respect to the number of design points employed; hence, it is the minimum cost design. Further, the design proposed in this note is excellent for use in multiple-block experimentation, which is very often required with constrained systems.     

The rhetoric and practice of the international responsibility to prevent mass atrocities: Reflections on South Africa’s peacebuilding role in South Sudan (2005–2013)

While global consensus on the meaning and application of the responsibility to protect (R2P) principle remains tenuous, there is little contention among major actors that the development of the norm should prioritise the prevention of mass atrocities. In particular, Brazil, Russia, India, China and South Africa (BRICS) – which have a role to play that is vital to the future development of R2P as a global norm but which continue to express reservations about the intent and application of the doctrine – have been strong advocates of the preventive aspects of the principle. This rhetorical consensus, however, belies the conceptual and practical challenges that are associated with the prevention of mass atrocities. In this paper, the example of South Africa’s post-conflict reconstruction and development (PCRD) interventions in South Sudan from 2005 to 2013 is used to reflect on the role of external actors in supporting conflict-affected states to implement the preventive aspects of R2P. It is argued that while South Africa, like other BRICS countries, has used the rhetoric that atrocity prevention should be at the core of R2P to legitimise its opposition to military intervention for humanitarian purposes, it has struggled to back this rhetoric with coherent strategies and concrete actions to prevent mass atrocity crimes within its sphere of influence. The gap between rhetoric and practice in the preventive aspects of R2P is not unique to South Africa, but highlights fundamental difficulties inherent to global efforts to prevent mass atrocities.     

On the production of victory: Empirical determinants of battlefield success in modern war

Using a data set of historical battles from 1600 to 1973, this paper analyzes the empirical determinants of tactical success in modern war. Based on a reduced form approach we consider key elements of military theory as production factors for combat success as an output of a military production function. The paper focuses on the relationship of material and non-material factors to battlefield success, and especially on the role of superior force strengths. Contrary to the emphasis on technology which can be found in the recent literature, our estimation results indicate that numerical superiority has retained its crucial role for battlefield performance throughout history. In general, human elements of warfare, like leadership, morale and surprise, have continued to be important determinants of battle outcome despite technological progress in weapons.     

An efficient heuristic for the multi-item newsboy problem with a single constraint

This article treats the problem of determining optimal and approximately optimal order quantities for a multiple-item inventory system subject to a single constraint on space or budget. Although this problem can be solved by the usual method of Lagrange multipliers, we wish to consider a more efficient scheme that requires fewer computations. We provide calculations that compare and contrast four approximation techniques. In particular, we have discovered a method that yields a direct algebraic expression of the problem parameters for allocation and achieves an expected profit within 90% of the optimal in about 90% of the cases tested.     

The optimum design of multivariate acceptance sampling plans

A model is developed which may be used to determine the expected total cost of quality control per inspection lot under acceptance sampling by variables where several characteristics are to be simultaneously controlled. Optimization of the model is accomplished through the application of a conventional search procedure. The sensitivity of the model and the optimum solution to the shape of the underlying probability distributions is discussed and associated analyses are presented through an example.     

The economic effects of inspector error on attribute sampling plans

In this paper the effects of inspector error on a cost-based quality control system are investigated. The system examined is of a single sampling plan design involving several cost components. Both type I and type II inspector errors are considered. The model employs a process distribution, thus assuming that a stochastic process of some kind governs the quality of incoming lots. Optimal plan design is investigated under both error-free and error-prone inspection procedures and some comparisons are made.