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Temporal Elements in the Spatial Extension of Production Networks

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  • JOHAN WOXENIUS

Abstract

ABSTRACT The spatial extension of production networks presents a significant challenge to managers accustomed to reducing lead times by geographically contracting supply chains. This paper extends the theory on time in transportation by defining the elements of transport time, order time, timing, punctuality, and frequency and elaborating on their characteristics. Structured along these elements, it analyses the consequences of extending production networks from within a mature economic region, mainly the EU‐15, U.S., and Japan, first to adjacent and then to nearby and finally distant low‐cost regions. Distance obviously affects the transport quality in all time dimensions. Except for air parcel services that globally match what road transport offers within an economic region, the longer the distance, the lower the time‐related performance. Distant, low‐cost regions, meaning China and India, also imply a polarisation between air and sea transport at opposite ends of the time, cost, and capacity scales. This supply gap restricts the types of products traded. The conceptual framework is illustrated in the setting of a global vehicle manufacturer spatially extending its sourcing. It demands that sequenced sub‐assemblies and small, cheap, and generic components are delivered from the vicinity of each assembly plant. Batched components can be sourced from adjacent regions, but deliveries from longer distances imply storage at pick‐up points to fulfil their time requirements. Hence, the suppliers must offer the manufacturing firm deliveries as if they produce relatively close to the assembly plants.

Suggested Citation

  • Johan Woxenius, 2006. "Temporal Elements in the Spatial Extension of Production Networks," Growth and Change, Wiley Blackwell, vol. 37(4), pages 526-549, December.
  • Handle: RePEc:bla:growch:v:37:y:2006:i:4:p:526-549
    DOI: 10.1111/j.1468-2257.2006.00339.x
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    References listed on IDEAS

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    1. David L. Hummels & Georg Schaur, 2013. "Time as a Trade Barrier," American Economic Review, American Economic Association, vol. 103(7), pages 2935-2959, December.
    2. Hummels, David, 2001. "Time As A Trade Barrier," Working papers 28701, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
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    1. Woxenius, Johan, 2012. "Directness as a key performance indicator for freight transport chains," Research in Transportation Economics, Elsevier, vol. 36(1), pages 63-72.
    2. Woxenius, Johan & Bergqvist, Rickard, 2011. "Comparing maritime containers and semi-trailers in the context of hinterland transport by rail," Journal of Transport Geography, Elsevier, vol. 19(4), pages 680-688.
    3. Emilie Gaubert & David Guerrero, 2014. "Modèles d'organisation logistique : une typologie d'activités," Post-Print hal-01069438, HAL.
    4. Mohammad-Reza Namazi-Rad & Michelle Dunbar & Hadi Ghaderi & Payam Mokhtarian, 2015. "Constrained Optimization of Average Arrival Time via a Probabilistic Approach to Transport Reliability," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-15, May.
    5. Christian Finnsgård & Joakim Kalantari & Zeeshan Raza & Violeta Roso & Johan Woxenius, 2018. "Swedish shippers’ strategies for coping with slow-steaming in deep sea container shipping," Journal of Shipping and Trade, Springer, vol. 3(1), pages 1-24, December.

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