The comeback of the Swiss watch industry on the world market: a business history of the Swatch Group (1983-2010)

The objective of this paper is to contribute to a better understanding of the comeback of the Swiss watch industry on the world market since the end of the 1980s. It focuses on the Swatch Group (SG), currently the world’s biggest watch company. In 1983, the merger of the largest watch group (SSIH) and of the trust controlling the production of parts and movements of watches (ASUAG) into SG was the main measure taken to overcome the Japanese competition. Managed since 1986 by Nicolas G. Hayek (1928-2010), SG experienced a high growth and recovered its competitiveness on the world market, becoming a driving force for the entire Swiss watch industry. This success is traditionally explained by the firm itself and by scholars as the result of the launch of a new product (Swatch, a cheap plastic quartz watch first marketed in 1983) and the persistence of an old technical culture in Switzerland which enabled this rebirth. This paper, based on SG annual reports, focuses on the strategy adopted by SG since 1983. It shows that, rather than product innovation (Swatch), it was the rationalization and globalization of the production system (concentration of strategic parts’ production in Switzerland; transfer of production facilities in Asia), together with a new marketing strategy (brand segmentation, distribution and retailing facilities, communication, etc.) which were the two main sources of the comeback of the Swiss watch industry on the world market. While Japanese still attach great attention to product innovation, SG largely established its competitiveness on non-technological innovation.Watch Industry; Switzerland; Swatch Group; Luxury Goods; Marketing Strategy

Robust Motion Planning employing Signal Temporal Logic

Motion planning classically concerns the problem of accomplishing a goal configuration while avoiding obstacles. However, the need for more sophisticated motion planning methodologies, taking temporal aspects into account, has emerged. To address this issue, temporal logics have recently been used to formulate such advanced specifications. This paper will consider Signal Temporal Logic in combination with Model Predictive Control. A robustness metric, called Discrete Average Space Robustness, is introduced and used to maximize the satisfaction of specifications which results in a natural robustness against noise. The comprised optimization problem is convex and formulated as a Linear Program.Comment: 6 page

HySIA: Tool for Simulating and Monitoring Hybrid Automata Based on Interval Analysis

We present HySIA: a reliable runtime verification tool for nonlinear hybrid automata (HA) and signal temporal logic (STL) properties. HySIA simulates an HA with interval analysis techniques so that a trajectory is enclosed sharply within a set of intervals. Then, HySIA computes whether the simulated trajectory satisfies a given STL property; the computation is performed again with interval analysis to achieve reliability. Simulation and verification using HySIA are demonstrated through several example HA and STL formulas.Comment: Appeared in RV'17; the final publication is available at Springe

Robust Online Monitoring of Signal Temporal Logic

Signal Temporal Logic (STL) is a formalism used to rigorously specify requirements of cyberphysical systems (CPS), i.e., systems mixing digital or discrete components in interaction with a continuous environment or analog com- ponents. STL is naturally equipped with a quantitative semantics which can be used for various purposes: from assessing the robustness of a specification to guiding searches over the input and parameter space with the goal of falsifying the given property over system behaviors. Algorithms have been proposed and implemented for offline computation of such quantitative semantics, but only few methods exist for an online setting, where one would want to monitor the satisfaction of a formula during simulation. In this paper, we formalize a semantics for robust online monitoring of partial traces, i.e., traces for which there might not be enough data to decide the Boolean satisfaction (and to compute its quantitative counterpart). We propose an efficient algorithm to compute it and demonstrate its usage on two large scale real-world case studies coming from the automotive domain and from CPS education in a Massively Open Online Course (MOOC) setting. We show that savings in computationally expensive simulations far outweigh any overheads incurred by an online approach

A Model of the Cellular Iron Homeostasis Network Using Semi-Formal Methods for Parameter Space Exploration

This paper presents a novel framework for the modeling of biological networks. It makes use of recent tools analyzing the robust satisfaction of properties of (hybrid) dynamical systems. The main challenge of this approach as applied to biological systems is to get access to the relevant parameter sets despite gaps in the available knowledge. An initial estimate of useful parameters was sought by formalizing the known behavior of the biological network in the STL logic using the tool Breach. Then, once a set of parameter values consistent with known biological properties was found, we tried to locally expand it into the largest possible valid region. We applied this methodology in an effort to model and better understand the complex network regulating iron homeostasis in mammalian cells. This system plays an important role in many biological functions, including erythropoiesis, resistance against infections, and proliferation of cancer cells.Comment: In Proceedings HSB 2012, arXiv:1208.315

Determinants of smoking and cessation in older women

Résumé Introduction : Le tabagisme est le facteur de risque le plus important dans 7 des 14 premières causes de décès chez les personnes de plus de 65 ans. De nombreuses études ont démontré les bénéfices sur la santé d'un arrêt du tabagisme même à un âge avancé. Malgré cela, peu d'actions préventives sont entreprises dans cette population. Le but de ce travail est d'analyser les caractéristiques du tabagisme et de l'arrêt du tabagisme spécifiquement chez les fumeuses d'âge avancé afin de mieux les aider dans leur désir d'arrêter. Méthode : Nous avons évalué les caractéristiques tabagiques au sein d'une étude prospective de 7'609 femmes vivant en Suisse, âgées de plus de 70 ans et physiquement autonomes (étude Semof s'intéressant à la mesure de l'ostéoporose par ultrason osseux). Un questionnaire sur les habitudes tabagiques a été envoyé aux 486 fumeuses éligibles de la cohorte. Leurs stades de dépendance nicotinique et de motivation ont été évalués à l'aide respectivement des scores «Heavy Smoking Index» et « Prochaska ». Les participantes ayant cessé de fumer pendant le suivi ont été questionnées sur, les motivations, les raisons et les méthodes de leur arrêt. Résultats : 424 femmes ont retourné le questionnaire (taux de réponse de 87%) parmi lesquelles 372 ont répondu de façon complète permettant leur inclusion. L'âge moyen s'élevait à 74,5 ans. La consommation moyenne était de 12 cigarettes par jour, sur une moyenne de 51 ans avec une préférence pour les cigarettes dites « légères » ou « light ». Un peu plus de la moitié des participantes avait une consommation entre 1 et 10 cigarettes par jour et la grande majorité (78%) présentait un score de dépendance faible. Les raisons du tabagisme les plus fréquemment évoquées étaient la relaxation, le plaisir et l'habitude. Les principaux obstacles mentionnés : arrêter à un âge avancé n'a pas de bénéfice, fumer peu ou des cigarettes dites light n'a pas d'impact sur la santé et fumer n'augmente pas le risque d'ostéoporose. Le désir d'arrêter était positivement associé avec un début tardif du tabagisme, une éducation plutôt modeste et la considération que d'arrêter est difficile. Durant le suivi de 3 ans, 57 femmes sur 372 (15%) ont arrêté de-fumer avec succès. Le fait d'être une fumeuse occasionnelle (moins de 1 cigarette par jour) et de considérer que d'arrêter de fumer n'est pas difficile était associés à un meilleur taux d'arrêt du tabagisme. Seuls 11% des femmes ayant stoppé la cigarette signalaient avoir reçu des conseils de leur médecin. Conclusion : ces données illustrent le comportement tabagique spécifique des fumeuses d'âge avancé (consommation et dépendance plutôt faibles) et suggèrent que les interventions médicales pour l'aide à l'arrêt du tabagisme devraient intégrer ces caractéristiques. La volonté d'arrêter est associée à un niveau d'éducation plutôt modeste. Les obstacles les plus fréquemment mentionnés sont basés sur des appréciations erronées de l'impact du tabagisme sur la santé

Technological advantage and market loss : Siemens and the X-ray machine business in Japan (1900-1960)

This paper focuses on the involvement of Siemens on the market for radiology equipment in Japan between 1900 and 1960 from a business history perspective. It explores why the German multinational was unable to keep its dominant position on the Japanese market in the interwar years, despite its technological competitiveness. In particular, it examines the strategic choices made by the firm (export, licensing, direct investment) in relation to the changing economic and technological environment, highlighting the importance, for foreign multinationals, of working together with national trading firms involved in the distribution of drugs and products for doctors, as the Japanese medical market was already well structured when the country opened up to the West. Four phases have been identified. At first, before World War I, German manufacturers of X-ray machines, especially Siemens, enjoyed a virtual monopoly in Japan and favored an export strategy. The political and technological shifts that occurred during the war (interruption of trade with Germany, development of the Coolidge X-ray tube by General Electric) led to a more competitive market in Japan. Siemens reorganized its involvement in this business via a contract signed with a domestic medical goods trade company, Goto Fuundo (1926). Yet this proved insufficient to overcome the competition, and Siemens finally decided to relocate some of its production facilities for X-ray machines in Japan by entering into a joint venture with Goto (1932). Relations between Siemens and Goto were severed by the war, and Goto tried until the 1950s to go it alone in this field but failed due to a lack of organizational capability. As for Siemens, it reverted to its export strategy approach, re-entering the market in the 1950s

The Comeback of the Swiss Watch Industry on the World Market : A Business History of the Swatch Group (1983-2010)

The objective of this paper is to contribute to a better understanding of the comeback of the Swiss watch industry on the world market since the end of the 1980s. It focuses on the Swatch Group (SG), currently the world’s biggest watch company. In 1983, the merger of the largest watch group (SSIH) and of the trust controlling the production of parts and movements of watches (ASUAG) into SG was the main measure taken to overcome the Japanese competition. Managed since 1986 by Nicolas G. Hayek (1928-2010), SG experienced a high growth and recovered its competitiveness on the world market, becoming a driving force for the entire Swiss watch industry. This success is traditionally explained by the firm itself and by scholars as the result of the launch of a new product (Swatch, a cheap plastic quartz watch first marketed in 1983) and the persistence of an old technical culture in Switzerland which enabled this rebirth. This paper, based on SG annual reports, focuses on the strategy adopted by SG since 1983. It shows that, rather than product innovation (Swatch), it was the rationalization and globalization of the production system (concentration of strategic parts’ production in Switzerland; transfer of production facilities in Asia), together with a new marketing strategy (brand segmentation, distribution and retailing facilities, communication, etc.) which were the two main sources of the comeback of the Swiss watch industry on the world market. While Japanese still attach great attention to product innovation, SG largely established its competitiveness on non-technological innovation