JustinInOz
SOC-12
A recent thread got me thinking. (http://www.travellerrpg.com/CotI/Discuss/showthread.php?t=21102&page=8)
The thread itself was schizoid. The original poster raised issues that sprang into two quite separate and distinct discussions. The one I was interested in revolved around the nature of trade in the OTU. I was less interested in the nature of artificial intelligence and robots.
I agree with some of what Aramis was saying. Other parts simply don’t wash with me. I think that I should summarise my understanding of his argument. He pointed out that the delay in communications brought on by light speed and the distances created a situation similar to pre-telegram international trade. This being that the only significant international trade was speculative rather than demand. The cargoes were owned outright by someone on the vessel. This owner was assuming all the risk/reward of the prospect of a buyer on the other end. This situation corresponds to the spec trade that happens in the OTU. Aramis extended this analogy to point out the unlikelihood of demand shipping to occur. This lag in communication causes any request for trade, the time in fulfilment and transport to mean that the needs will have gone critical before the completion of the order. This demand shipping would travel as freight on the ships. The third kind of shipping would be long standing contract. Aramis invokes common sense to frame this kind of trade as being used as a tool to manipulate market demand/price. This would be done by never having a large part of the market under contract. That way, advantageous movements in price could be capitalized upon.
The demand side of the market about people not wanting to wait for their products, I can understand. As a consumer, I am reluctant to wait for products. If I can not find them in one shop, most likely I will go to another. Only if I have a strong loyalty to a shop will I be inclined to wait. What Aramis seems to be describing, to me, is the public facing shopfront when it is the endpoint consumer or for large firms is the spot market. Yes you get what you want, when you want it. But this market place carries significant risks for the consumer/buyer. The first being a stock out - i.e. they is none available for purchase. The second being the price – it is highly variable. Both of these risks are anathematic to companies. They will do anything possible to mitigate them.
I do not see this “on demand” dynamic functioning between companies. I feel the need to make a disclosure here. I work in an open plan office of a national consumer goods company. Immediately next to me is the procurement department. They negotiate contracts of supply for goods and services. I hear them all the time talking about tender processes and supply arrangements. Companies like to have a guaranteed supply at a guaranteed price. They do this through the procurement process. I asked some of the guys how long it takes to set up a supplier from the announcement of tender to the initial delivery. They said 3 – 6 months, more if it is an overseas supplier. This long process enables them to secure suppliers at good prices. This process mitigates the risks that characterise the open market.
A 2 week lag in communication won’t be a deal breaker in this kind of process. If the supplier is willing to send a delegation who are empowered to negotiate contracts, a 6 week lag between announcing the tender and the arrival of parties is not going to stop it either. In my opinion, a retarding factor of distance is going to be more the incremental freight costs. The further you go the harder it is going to be for all parties to make a credit out of the deal. The further away you are away from your customer, the more likely that someone else will be able to do it for a cheaper productions plus freight cost.
A second disclosure is required. I do forecasting of demand for a living. It is not at all hard to translate a years projected activities into resource requirements going forward. Once a relationship is set up, I do not see there to be insurmountable problems in supplying needs 2, 3 or even 4 jumps away. All it takes is a little planning.
I do agree whole heartedly that there are conditions under which freight trade and speculative trade flourish in exclusion of the other. I don’t think that it is possible to simply state that one exists and the other does not. Or maybe it is possible to state flatly the conditions. In doing so you would be specifying the extreme conjunctions of circumstances. These extremes would not be easily found in practice. Most cases within any given subsector would fit somewhere between the extremes.
Under some conditions, there is going to be flourishing off world trade. Under other conditions there is going to be nothing but speculation trade. I don’t feel comfortable in stating these by fiat. I would like to have a go at setting up an agent based model to determine the conditions where this change occurs. Basically set the parameters and see under what conditions trade goes one way and not the other. Reading this thread and another one on a different board got me to look into agent based modelling
I would like to set up a model of a trading situation. I would like to model some sector of the economy of a world and its trading partners within a limited area. Off the top of my head, Jump – 6 would be as good as any to work with. I would like to model how frequently and under what conditions the firms within this sector of the economy would seek suppliers from within their world, from other worlds and when they would simply make things for themselves rather than seek external supply of their product inputs.
We would need to define agents. What properties they have and what rules govern their interactions. There is an existing paper/model which explicitly explores the situation where a buyer weighs up wether they are going to seek suppliers for their purchases or make the goods themselves. I see suppliers and buyers as being the agents in this experiment.
Trust is a way of measuring the buyers’ subjective assessment of the suppliers’ probability of default. Naturally there would be a greater level of trust of those on your world. You have a reasonable chance of expecting a contract default to be legally actionable.
Tech differences are a major feature of the Traveller universe. The question is how do they impact the production costs of suppliers? If there is a huge difference in tech level, is it possible for the industrial base of one to supply another? One aspect of technology that I can’t get my head around is super high tech device printing. I take device printing to mean that if you have the raw materials (elements) and the plans you can “print” any device. If you can print any device, I don’t see why you can’t print any molecule. This capacity undermines most reasons for trade that I can think of. I would be happy if someone could challenge my assertions on this one.
Here are some links to agent based simulations if they interest you. Links:
General Links: http://econ2.econ.iastate.edu/tesfatsi/abmread.htm
The one I would like to base this on: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.134.3532&rep=rep1&type=pdf.
Is anyone interested in colaborating on this model?
The thread itself was schizoid. The original poster raised issues that sprang into two quite separate and distinct discussions. The one I was interested in revolved around the nature of trade in the OTU. I was less interested in the nature of artificial intelligence and robots.
I agree with some of what Aramis was saying. Other parts simply don’t wash with me. I think that I should summarise my understanding of his argument. He pointed out that the delay in communications brought on by light speed and the distances created a situation similar to pre-telegram international trade. This being that the only significant international trade was speculative rather than demand. The cargoes were owned outright by someone on the vessel. This owner was assuming all the risk/reward of the prospect of a buyer on the other end. This situation corresponds to the spec trade that happens in the OTU. Aramis extended this analogy to point out the unlikelihood of demand shipping to occur. This lag in communication causes any request for trade, the time in fulfilment and transport to mean that the needs will have gone critical before the completion of the order. This demand shipping would travel as freight on the ships. The third kind of shipping would be long standing contract. Aramis invokes common sense to frame this kind of trade as being used as a tool to manipulate market demand/price. This would be done by never having a large part of the market under contract. That way, advantageous movements in price could be capitalized upon.
The demand side of the market about people not wanting to wait for their products, I can understand. As a consumer, I am reluctant to wait for products. If I can not find them in one shop, most likely I will go to another. Only if I have a strong loyalty to a shop will I be inclined to wait. What Aramis seems to be describing, to me, is the public facing shopfront when it is the endpoint consumer or for large firms is the spot market. Yes you get what you want, when you want it. But this market place carries significant risks for the consumer/buyer. The first being a stock out - i.e. they is none available for purchase. The second being the price – it is highly variable. Both of these risks are anathematic to companies. They will do anything possible to mitigate them.
I do not see this “on demand” dynamic functioning between companies. I feel the need to make a disclosure here. I work in an open plan office of a national consumer goods company. Immediately next to me is the procurement department. They negotiate contracts of supply for goods and services. I hear them all the time talking about tender processes and supply arrangements. Companies like to have a guaranteed supply at a guaranteed price. They do this through the procurement process. I asked some of the guys how long it takes to set up a supplier from the announcement of tender to the initial delivery. They said 3 – 6 months, more if it is an overseas supplier. This long process enables them to secure suppliers at good prices. This process mitigates the risks that characterise the open market.
A 2 week lag in communication won’t be a deal breaker in this kind of process. If the supplier is willing to send a delegation who are empowered to negotiate contracts, a 6 week lag between announcing the tender and the arrival of parties is not going to stop it either. In my opinion, a retarding factor of distance is going to be more the incremental freight costs. The further you go the harder it is going to be for all parties to make a credit out of the deal. The further away you are away from your customer, the more likely that someone else will be able to do it for a cheaper productions plus freight cost.
A second disclosure is required. I do forecasting of demand for a living. It is not at all hard to translate a years projected activities into resource requirements going forward. Once a relationship is set up, I do not see there to be insurmountable problems in supplying needs 2, 3 or even 4 jumps away. All it takes is a little planning.
I do agree whole heartedly that there are conditions under which freight trade and speculative trade flourish in exclusion of the other. I don’t think that it is possible to simply state that one exists and the other does not. Or maybe it is possible to state flatly the conditions. In doing so you would be specifying the extreme conjunctions of circumstances. These extremes would not be easily found in practice. Most cases within any given subsector would fit somewhere between the extremes.
Under some conditions, there is going to be flourishing off world trade. Under other conditions there is going to be nothing but speculation trade. I don’t feel comfortable in stating these by fiat. I would like to have a go at setting up an agent based model to determine the conditions where this change occurs. Basically set the parameters and see under what conditions trade goes one way and not the other. Reading this thread and another one on a different board got me to look into agent based modelling
I would like to set up a model of a trading situation. I would like to model some sector of the economy of a world and its trading partners within a limited area. Off the top of my head, Jump – 6 would be as good as any to work with. I would like to model how frequently and under what conditions the firms within this sector of the economy would seek suppliers from within their world, from other worlds and when they would simply make things for themselves rather than seek external supply of their product inputs.
We would need to define agents. What properties they have and what rules govern their interactions. There is an existing paper/model which explicitly explores the situation where a buyer weighs up wether they are going to seek suppliers for their purchases or make the goods themselves. I see suppliers and buyers as being the agents in this experiment.
Trust is a way of measuring the buyers’ subjective assessment of the suppliers’ probability of default. Naturally there would be a greater level of trust of those on your world. You have a reasonable chance of expecting a contract default to be legally actionable.
Tech differences are a major feature of the Traveller universe. The question is how do they impact the production costs of suppliers? If there is a huge difference in tech level, is it possible for the industrial base of one to supply another? One aspect of technology that I can’t get my head around is super high tech device printing. I take device printing to mean that if you have the raw materials (elements) and the plans you can “print” any device. If you can print any device, I don’t see why you can’t print any molecule. This capacity undermines most reasons for trade that I can think of. I would be happy if someone could challenge my assertions on this one.
Here are some links to agent based simulations if they interest you. Links:
General Links: http://econ2.econ.iastate.edu/tesfatsi/abmread.htm
The one I would like to base this on: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.134.3532&rep=rep1&type=pdf.
Is anyone interested in colaborating on this model?