{% extends "global/Page.html" %} {% load otree static %} {% block title %} {% endblock %} {% block content %}

Instructions

This experiment consists of several rounds - the number is randomly chosen between 15 and 25 rounds. A round either ends when you have clicked "Next" or after the time limit (3 minutes) has expired, which may affect your payout.

Your Role:
In the experiment, there are customer demand, a company and a supplier. You will take the role of the company, while the customer demand and the supplier are automated. The setup of the experiment is outlined and explained in detail below:

Your Task:
As a company, in each round you will receive a customer demand between 3 and 15 pieces with a due date. In the orderbook you see your future customer demand for the next 5 rounds. Your task in each round is to order as much from the supplier that you can best serve the customer demand on the respective due date. {% if player.treat == 'mto_fix' or player.treat == 'mto_var' %} As soon as you have placed an order, the number of displayed customer demand in your orderbook is reduced -- chronologically, i.e. in the same order as the supplier delivers (details are provided below). This means that only the customer demand t {% endif %} As a company, you can also order on stock if you place and receive more orders than you have in one round delivered to customers.

Your Supplier:
The supplier has a maximum delivery capacity in each round, which is unknown to you but constant over all rounds. If you order more pieces in a round than the suppliers' capacity, then the supplier will deliver as much as possible in the current round and the rest in the following rounds. The supplier always delivers the open orders from previous rounds first. This may result in delayed delivering of your orders. For this reason, you will see a lead time estimate from the supplier in each round. {% if player.treat == 'var' or player.treat == 'mto_var' %} The supplier estimates its lead time based on the current open orders from previous rounds and the expected orders (which are constantly assumed to be 9 in each round). The supplier calculates the lead time estimate as follows and rounds it up to the nearest integer:

The estimated lead time may differ from the supplier's actual delivery time depending on the orders in a round (but both are at least one round). {% else %} The supplier provides a constant estimated lead time of 1 round. This estimated lead time may differ from the supplier's actual delivery time depending on the orders in one round (which is at least one round, however). {% endif %} Therefore, in each round you will be asked about your own estimate of the lead time.

Costs and Profit:
For each piece from your customer demand you serve, you receive a revenue of 9 Taler. However, if you do not serve the customer demand in due time, this open customer demand will cost you 16 Taler per delayed round. You will only receive the 9 Taler for the customer demand in the round in which you serve the it. Each order you place with the supplier costs you 1 Taler. Inventory costs are 4 Taler per round and piece.

Your profit or loss per round is calculated as follows:
Revenue from served customer demand minus loss from open customer demand minus inventory costs minus order costs. The profit or loss per round is added up over all rounds to makes up your payout.

Your Payoff:
Your payout in Taler will be converted to Euros at the end of the experiment using a conversion rate of 100:1 and then will be rounded up. Please note: While you can make losses in one round, your payout in the experiment will be 0 euros in case you create losses over all rounds of the experiment. This will not affect your participation fee: You will receive 4 euros for participating in the experiment in any case.

Before you start the actual experiment, you can familiarize yourself with the process in practice rounds. They last 3 rounds and are not paid out.

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